Overview

Dataset statistics

Number of variables580
Number of observations12083
Missing cells0
Missing cells (%)0.0%
Total size in memory53.5 MiB
Average record size in memory4.5 KiB

Variable types

Numeric575
Categorical5

Alerts

USEEL has constant value "1" Constant
PCTATTHT is highly skewed (γ1 = 21.19138325) Skewed
PCTATTCL is highly skewed (γ1 = 23.29691839) Skewed
RADFUEL is highly skewed (γ1 = 31.93106929) Skewed
PIPEFUEL is highly skewed (γ1 = 28.42995374) Skewed
DIFFUEL is highly skewed (γ1 = 22.80670862) Skewed
ELOTHER is highly skewed (γ1 = -109.9227001) Skewed
FOOTHER is highly skewed (γ1 = 23.92749125) Skewed
KRWATER is highly skewed (γ1 = 63.44813938) Skewed
WDWATER is highly skewed (γ1 = 31.68859371) Skewed
SOLWARM is highly skewed (γ1 = 54.94087505) Skewed
SOLARAUX is highly skewed (γ1 = 63.44813938) Skewed
SOLWATER is highly skewed (γ1 = 23.37444643) Skewed
OTHWATER is highly skewed (γ1 = 31.68859371) Skewed
OTHCOOK is highly skewed (γ1 = 25.16160027) Skewed
OTHERWAYFO is highly skewed (γ1 = 23.97226347) Skewed
OTHERWAYLPG is highly skewed (γ1 = 21.60842054) Skewed
AGEHHMEMCAT9 is highly skewed (γ1 = 20.6094552) Skewed
AGEHHMEMCAT10 is highly skewed (γ1 = 33.81417417) Skewed
AGEHHMEMCAT11 is highly skewed (γ1 = 36.10473251) Skewed
AGEHHMEMCAT12 is highly skewed (γ1 = 45.40147442) Skewed
AGEHHMEMCAT13 is highly skewed (γ1 = 56.50706504) Skewed
AGEHHMEMCAT14 is highly skewed (γ1 = 54.94087505) Skewed
GALLONLPOTH is highly skewed (γ1 = 21.19604583) Skewed
BTULPOTH is highly skewed (γ1 = 21.19614493) Skewed
GALLONFOOTH is highly skewed (γ1 = 34.0025653) Skewed
BTUFOOTH is highly skewed (γ1 = 34.00743535) Skewed
DOLFOOTH is highly skewed (γ1 = 32.62491702) Skewed
GALLONKERWTH is highly skewed (γ1 = 73.32179815) Skewed
GALLONKEROTH is highly skewed (γ1 = 54.35946031) Skewed
BTUKERWTH is highly skewed (γ1 = 73.36800793) Skewed
BTUKEROTH is highly skewed (γ1 = 54.32953083) Skewed
DOLKERWTH is highly skewed (γ1 = 73.3293643) Skewed
DOLKEROTH is highly skewed (γ1 = 54.3815726) Skewed
STUDIO has 2634 (21.8%) zeros Zeros
TYPEHUQ4 has 411 (3.4%) zeros Zeros
NHAFBATH has 8592 (71.1%) zeros Zeros
CELLAR has 5678 (47.0%) zeros Zeros
CRAWL has 6970 (57.7%) zeros Zeros
CONCRETE has 5032 (41.6%) zeros Zeros
BASEFIN has 1960 (16.2%) zeros Zeros
BASEHEAT has 1812 (15.0%) zeros Zeros
BASECOOL has 2824 (23.4%) zeros Zeros
ATTIC has 6569 (54.4%) zeros Zeros
ATTICFIN has 2788 (23.1%) zeros Zeros
ATTCHEAT has 2936 (24.3%) zeros Zeros
ATTCCOOL has 2961 (24.5%) zeros Zeros
PRKGPLC1 has 4298 (35.6%) zeros Zeros
GARGHEAT has 4672 (38.7%) zeros Zeros
GARGCOOL has 4800 (39.7%) zeros Zeros
PRKGPLC2 has 2224 (18.4%) zeros Zeros
OUTLET has 5523 (45.7%) zeros Zeros
STOVEN has 1239 (10.3%) zeros Zeros
STOVE has 10607 (87.8%) zeros Zeros
OVEN has 10574 (87.5%) zeros Zeros
OVENUSE has 702 (5.8%) zeros Zeros
OVENCLN has 4411 (36.5%) zeros Zeros
MICRO has 467 (3.9%) zeros Zeros
DEFROST has 6514 (53.9%) zeros Zeros
OUTGRILL has 4705 (38.9%) zeros Zeros
TOPGRILL has 11919 (98.6%) zeros Zeros
TOASTER has 7613 (63.0%) zeros Zeros
COFFEE has 4413 (36.5%) zeros Zeros
ICE has 7892 (65.3%) zeros Zeros
ESFRIG has 2981 (24.7%) zeros Zeros
REPLCFRI has 703 (5.8%) zeros Zeros
HELPFRI has 2720 (22.5%) zeros Zeros
ESFRIG2 has 589 (4.9%) zeros Zeros
SEPFREEZ has 8496 (70.3%) zeros Zeros
REPLCFRZ has 144 (1.2%) zeros Zeros
HELPFRZ has 661 (5.5%) zeros Zeros
DISHWASH has 4701 (38.9%) zeros Zeros
ESDISHW has 1642 (13.6%) zeros Zeros
REPLCDW has 520 (4.3%) zeros Zeros
HELPDW has 1700 (14.1%) zeros Zeros
CWASHER has 2050 (17.0%) zeros Zeros
ESCWASH has 2197 (18.2%) zeros Zeros
REPLCCW has 413 (3.4%) zeros Zeros
HELPCW has 2823 (23.4%) zeros Zeros
DRYER has 2359 (19.5%) zeros Zeros
TVCOLOR has 148 (1.2%) zeros Zeros
CABLESAT1 has 2277 (18.8%) zeros Zeros
COMBODVR1 has 5871 (48.6%) zeros Zeros
DVR1 has 7002 (57.9%) zeros Zeros
DIGITSTB1 has 9207 (76.2%) zeros Zeros
PLAYSTA1 has 8722 (72.2%) zeros Zeros
COMBOVCRDVD1 has 8785 (72.7%) zeros Zeros
VCR1 has 9805 (81.1%) zeros Zeros
DVD1 has 5733 (47.4%) zeros Zeros
TVAUDIOSYS1 has 9639 (79.8%) zeros Zeros
OTHERSTB1 has 11578 (95.8%) zeros Zeros
TVONWDWATCH1 has 609 (5.0%) zeros Zeros
TVONWEWATCH1 has 656 (5.4%) zeros Zeros
CABLESAT2 has 2718 (22.5%) zeros Zeros
COMBODVR2 has 5480 (45.4%) zeros Zeros
DVR2 has 7768 (64.3%) zeros Zeros
DIGITSTB2 has 8138 (67.4%) zeros Zeros
PLAYSTA2 has 7954 (65.8%) zeros Zeros
COMBOVCRDVD2 has 8274 (68.5%) zeros Zeros
VCR2 has 8386 (69.4%) zeros Zeros
DVD2 has 6603 (54.6%) zeros Zeros
TVAUDIOSYS2 has 9071 (75.1%) zeros Zeros
OTHERSTB2 has 9403 (77.8%) zeros Zeros
TVONWDWATCH2 has 249 (2.1%) zeros Zeros
TVONWEWATCH2 has 226 (1.9%) zeros Zeros
CABLESAT3 has 1976 (16.4%) zeros Zeros
COMBODVR3 has 3074 (25.4%) zeros Zeros
DVR3 has 4880 (40.4%) zeros Zeros
DIGITSTB3 has 4908 (40.6%) zeros Zeros
PLAYSTA3 has 4683 (38.8%) zeros Zeros
COMBOVCRDVD3 has 5001 (41.4%) zeros Zeros
VCR3 has 4974 (41.2%) zeros Zeros
DVD3 has 4137 (34.2%) zeros Zeros
TVAUDIOSYS3 has 5325 (44.1%) zeros Zeros
OTHERSTB3 has 5484 (45.4%) zeros Zeros
TVONWDWATCH3 has 134 (1.1%) zeros Zeros
TVONWEWATCH3 has 129 (1.1%) zeros Zeros
COMPUTER has 2614 (21.6%) zeros Zeros
NUMPC has 2614 (21.6%) zeros Zeros
MONITOR1 has 1058 (8.8%) zeros Zeros
PCONOFF1 has 3954 (32.7%) zeros Zeros
PCSLEEP1 has 362 (3.0%) zeros Zeros
MONITOR2 has 443 (3.7%) zeros Zeros
PCONOFF2 has 1337 (11.1%) zeros Zeros
PCSLEEP2 has 135 (1.1%) zeros Zeros
MONITOR3 has 193 (1.6%) zeros Zeros
PCONOFF3 has 447 (3.7%) zeros Zeros
INTERNET has 523 (4.3%) zeros Zeros
INDIALUP has 8362 (69.2%) zeros Zeros
INDSL has 5213 (43.1%) zeros Zeros
INCABLE has 4883 (40.4%) zeros Zeros
INSATEL has 8662 (71.7%) zeros Zeros
INWIRELESS has 3103 (25.7%) zeros Zeros
PCPRINT has 1916 (15.9%) zeros Zeros
FAX has 10971 (90.8%) zeros Zeros
COPIER has 11039 (91.4%) zeros Zeros
WELLPUMP has 7839 (64.9%) zeros Zeros
DIPSTICK has 3464 (28.7%) zeros Zeros
SWAMPCOL has 4651 (38.5%) zeros Zeros
AQUARIUM has 11622 (96.2%) zeros Zeros
STEREO has 6871 (56.9%) zeros Zeros
NOCORD has 4425 (36.6%) zeros Zeros
ANSMACH has 6421 (53.1%) zeros Zeros
BATTOOLS has 4459 (36.9%) zeros Zeros
CHRGPLGT has 5051 (41.8%) zeros Zeros
ELECDEV has 1073 (8.9%) zeros Zeros
CHRGPLGE has 5563 (46.0%) zeros Zeros
HEATHOME has 446 (3.7%) zeros Zeros
MAINTHT has 6955 (57.6%) zeros Zeros
REPLCHT has 551 (4.6%) zeros Zeros
HELPHT has 5027 (41.6%) zeros Zeros
HEATOTH has 10755 (89.0%) zeros Zeros
EQUIPAUX has 7085 (58.6%) zeros Zeros
REVERSE has 11501 (95.2%) zeros Zeros
WARMAIR has 11366 (94.1%) zeros Zeros
STEAMR has 11578 (95.8%) zeros Zeros
PERMELEC has 11388 (94.2%) zeros Zeros
PIPELESS has 11613 (96.1%) zeros Zeros
ROOMHEAT has 11510 (95.3%) zeros Zeros
WOODKILN has 11342 (93.9%) zeros Zeros
CARRYEL has 9244 (76.5%) zeros Zeros
CARRYKER has 11564 (95.7%) zeros Zeros
CHIMNEY has 10190 (84.3%) zeros Zeros
RANGE has 11551 (95.6%) zeros Zeros
DIFEQUIP has 11558 (95.7%) zeros Zeros
THERMAIN has 768 (6.4%) zeros Zeros
PROTHERM has 5561 (46.0%) zeros Zeros
AUTOHEATNITE has 1777 (14.7%) zeros Zeros
AUTOHEATDAY has 2191 (18.1%) zeros Zeros
MOISTURE has 10240 (84.7%) zeros Zeros
NUMH2ONOTNK has 11702 (96.8%) zeros Zeros
NUMH2OHTRS has 334 (2.8%) zeros Zeros
WHEATOTH has 10713 (88.7%) zeros Zeros
WHEATBKT has 10190 (84.3%) zeros Zeros
HELPWH has 1286 (10.6%) zeros Zeros
AIRCOND has 2143 (17.7%) zeros Zeros
CENACHP has 6102 (50.5%) zeros Zeros
ACOTHERS has 7239 (59.9%) zeros Zeros
MAINTAC has 4333 (35.9%) zeros Zeros
REPLCCAC has 438 (3.6%) zeros Zeros
HELPCAC has 3328 (27.5%) zeros Zeros
THERMAINAC has 145 (1.2%) zeros Zeros
PROTHERMAC has 3631 (30.1%) zeros Zeros
AUTOCOOLNITE has 1463 (12.1%) zeros Zeros
AUTOCOOLDAY has 1476 (12.2%) zeros Zeros
ESWWAC has 679 (5.6%) zeros Zeros
HELPWWAC has 936 (7.7%) zeros Zeros
NUMCFAN has 3321 (27.5%) zeros Zeros
TREESHAD has 6677 (55.3%) zeros Zeros
NOTMOIST has 10462 (86.6%) zeros Zeros
HIGHCEIL has 8116 (67.2%) zeros Zeros
CATHCEIL has 1355 (11.2%) zeros Zeros
SWIMPOOL has 7796 (64.5%) zeros Zeros
POOL has 660 (5.5%) zeros Zeros
RECBATH has 11389 (94.3%) zeros Zeros
LGT12 has 9434 (78.1%) zeros Zeros
LGT12EE has 1079 (8.9%) zeros Zeros
LGT4 has 4335 (35.9%) zeros Zeros
LGT4EE has 2949 (24.4%) zeros Zeros
LGT1 has 1898 (15.7%) zeros Zeros
LGT1EE has 4119 (34.1%) zeros Zeros
NOUTLGTNT has 5850 (48.4%) zeros Zeros
LGTOEE has 1272 (10.5%) zeros Zeros
NGASLIGHT has 2823 (23.4%) zeros Zeros
INSTLCFL has 853 (7.1%) zeros Zeros
HELPCFL has 6119 (50.6%) zeros Zeros
SLDDRS has 7700 (63.7%) zeros Zeros
DOOR1SUM has 7700 (63.7%) zeros Zeros
HELPWIN has 3264 (27.0%) zeros Zeros
INSTLINS has 9368 (77.5%) zeros Zeros
HELPINS has 935 (7.7%) zeros Zeros
INSTLWS has 7742 (64.1%) zeros Zeros
HELPWS has 2905 (24.0%) zeros Zeros
AUDIT has 11494 (95.1%) zeros Zeros
HELPAUD has 182 (1.5%) zeros Zeros
USENG has 4589 (38.0%) zeros Zeros
USELP has 6862 (56.8%) zeros Zeros
USEFO has 11179 (92.5%) zeros Zeros
USEKERO has 11917 (98.6%) zeros Zeros
USEWOOD has 10649 (88.1%) zeros Zeros
USESOLAR has 11936 (98.8%) zeros Zeros
USEOTH has 9612 (79.5%) zeros Zeros
ELWARM has 5929 (49.1%) zeros Zeros
ELECAUX has 9239 (76.5%) zeros Zeros
ELCOOL has 2143 (17.7%) zeros Zeros
ELWATER has 7270 (60.2%) zeros Zeros
ELFOOD has 4387 (36.3%) zeros Zeros
UGWARM has 5995 (49.6%) zeros Zeros
UGASAUX has 11272 (93.3%) zeros Zeros
UGWATER has 5695 (47.1%) zeros Zeros
UGCOOK has 7881 (65.2%) zeros Zeros
UGOTH has 9741 (80.6%) zeros Zeros
LPWARM has 11370 (94.1%) zeros Zeros
LPGAUX has 11813 (97.8%) zeros Zeros
LPWATER has 11677 (96.6%) zeros Zeros
LPCOOK has 11585 (95.9%) zeros Zeros
LPOTHER has 7311 (60.5%) zeros Zeros
FOWARM has 11224 (92.9%) zeros Zeros
FOILAUX has 12030 (99.6%) zeros Zeros
FOWATER has 11619 (96.2%) zeros Zeros
FOOTHER has 12062 (99.8%) zeros Zeros
KRWARM has 11956 (98.9%) zeros Zeros
KEROAUX has 12007 (99.4%) zeros Zeros
KRWATER has 12080 (> 99.9%) zeros Zeros
KROTHER has 12045 (99.7%) zeros Zeros
WDWARM has 10820 (89.5%) zeros Zeros
WOODAUX has 11103 (91.9%) zeros Zeros
WDWATER has 12071 (99.9%) zeros Zeros
WDOTHUSE has 11899 (98.5%) zeros Zeros
SOLWARM has 12079 (> 99.9%) zeros Zeros
SOLARAUX has 12080 (> 99.9%) zeros Zeros
SOLWATER has 12061 (99.8%) zeros Zeros
SOLOTHER has 11957 (99.0%) zeros Zeros
OTHWARM has 11975 (99.1%) zeros Zeros
OTHERAUX has 12018 (99.5%) zeros Zeros
OTHWATER has 12071 (99.9%) zeros Zeros
OTHCOOK has 12064 (99.8%) zeros Zeros
ONSITE has 12012 (99.4%) zeros Zeros
LPGDELV has 1921 (15.9%) zeros Zeros
WOODLOGS has 184 (1.5%) zeros Zeros
WDSCRAP has 1332 (11.0%) zeros Zeros
WDPELLET has 1328 (11.0%) zeros Zeros
WDOTHER has 1365 (11.3%) zeros Zeros
KFUELOT has 11946 (98.9%) zeros Zeros
EMPLOYHH has 4596 (38.0%) zeros Zeros
SPOUSE has 4903 (40.6%) zeros Zeros
SDESCENT has 10409 (86.1%) zeros Zeros
EDUCATION has 200 (1.7%) zeros Zeros
HBUSNESS has 11054 (91.5%) zeros Zeros
ATHOME has 5202 (43.1%) zeros Zeros
TELLWORK has 11033 (91.3%) zeros Zeros
OTHWORK has 11848 (98.1%) zeros Zeros
WORKPAY has 2818 (23.3%) zeros Zeros
RETIREPY has 8516 (70.5%) zeros Zeros
SSINCOME has 11146 (92.2%) zeros Zeros
CASHBEN has 11779 (97.5%) zeros Zeros
INVESTMT has 9328 (77.2%) zeros Zeros
RGLRPAY has 10255 (84.9%) zeros Zeros
POVERTY100 has 10408 (86.1%) zeros Zeros
POVERTY150 has 9290 (76.9%) zeros Zeros
HUPROJ has 3448 (28.5%) zeros Zeros
RENTHELP has 3278 (27.1%) zeros Zeros
FOODASST has 10795 (89.3%) zeros Zeros
TOTHSQFT has 446 (3.7%) zeros Zeros
TOTUSQFT has 4723 (39.1%) zeros Zeros
TOTCSQFT has 2143 (17.7%) zeros Zeros
TOTUCSQFT has 2889 (23.9%) zeros Zeros
KWHSPH has 5929 (49.1%) zeros Zeros
KWHCOL has 2143 (17.7%) zeros Zeros
KWHWTH has 7270 (60.2%) zeros Zeros
BTUELSPH has 5929 (49.1%) zeros Zeros
BTUELCOL has 2143 (17.7%) zeros Zeros
BTUELWTH has 7270 (60.2%) zeros Zeros
DOLELSPH has 5929 (49.1%) zeros Zeros
DOLELCOL has 2144 (17.7%) zeros Zeros
DOLELWTH has 7271 (60.2%) zeros Zeros
CUFEETNG has 4589 (38.0%) zeros Zeros
CUFEETNGSPH has 5995 (49.6%) zeros Zeros
CUFEETNGWTH has 5695 (47.1%) zeros Zeros
CUFEETNGOTH has 7168 (59.3%) zeros Zeros
BTUNG has 4589 (38.0%) zeros Zeros
BTUNGSPH has 5995 (49.6%) zeros Zeros
BTUNGWTH has 5695 (47.1%) zeros Zeros
BTUNGOTH has 7168 (59.3%) zeros Zeros
DOLLARNG has 4589 (38.0%) zeros Zeros
DOLNGSPH has 5995 (49.6%) zeros Zeros
DOLNGWTH has 5695 (47.1%) zeros Zeros
DOLNGOTH has 7168 (59.3%) zeros Zeros
GALLONLP has 11008 (91.1%) zeros Zeros
GALLONLPSPH has 11370 (94.1%) zeros Zeros
GALLONLPWTH has 11677 (96.6%) zeros Zeros
GALLONLPOTH has 11490 (95.1%) zeros Zeros
BTULP has 11008 (91.1%) zeros Zeros
BTULPSPH has 11370 (94.1%) zeros Zeros
BTULPWTH has 11677 (96.6%) zeros Zeros
BTULPOTH has 11490 (95.1%) zeros Zeros
DOLLARLP has 11008 (91.1%) zeros Zeros
DOLLPSPH has 11370 (94.1%) zeros Zeros
DOLLPWTH has 11677 (96.6%) zeros Zeros
DOLLPOTH has 11490 (95.1%) zeros Zeros
GALLONFO has 11179 (92.5%) zeros Zeros
GALLONFOSPH has 11224 (92.9%) zeros Zeros
GALLONFOWTH has 11619 (96.2%) zeros Zeros
GALLONFOOTH has 12062 (99.8%) zeros Zeros
BTUFO has 11179 (92.5%) zeros Zeros
BTUFOSPH has 11224 (92.9%) zeros Zeros
BTUFOWTH has 11619 (96.2%) zeros Zeros
BTUFOOTH has 12062 (99.8%) zeros Zeros
DOLLARFO has 11179 (92.5%) zeros Zeros
DOLFOSPH has 11224 (92.9%) zeros Zeros
DOLFOWTH has 11619 (96.2%) zeros Zeros
DOLFOOTH has 12062 (99.8%) zeros Zeros
GALLONKER has 11917 (98.6%) zeros Zeros
GALLONKERSPH has 11956 (98.9%) zeros Zeros
GALLONKERWTH has 12080 (> 99.9%) zeros Zeros
GALLONKEROTH has 12045 (99.7%) zeros Zeros
BTUKER has 11917 (98.6%) zeros Zeros
BTUKERSPH has 11956 (98.9%) zeros Zeros
BTUKERWTH has 12080 (> 99.9%) zeros Zeros
BTUKEROTH has 12045 (99.7%) zeros Zeros
DOLLARKER has 11917 (98.6%) zeros Zeros
DOLKERSPH has 11956 (98.9%) zeros Zeros
DOLKERWTH has 12080 (> 99.9%) zeros Zeros
DOLKEROTH has 12045 (99.7%) zeros Zeros
BTUWOOD has 10649 (88.1%) zeros Zeros
CORDSWD has 10649 (88.1%) zeros Zeros
TOTALBTUSPH has 549 (4.5%) zeros Zeros
TOTALBTUCOL has 2143 (17.7%) zeros Zeros
TOTALDOLSPH has 549 (4.5%) zeros Zeros
TOTALDOLCOL has 2147 (17.8%) zeros Zeros
SCALEEL has 10597 (87.7%) zeros Zeros
SCALENG has 5889 (48.7%) zeros Zeros
SCALELP has 572 (4.7%) zeros Zeros
SCALEFO has 536 (4.4%) zeros Zeros
HDD50 has 388 (3.2%) zeros Zeros
CDD80 has 2610 (21.6%) zeros Zeros
GND_HDD65 has 377 (3.1%) zeros Zeros
OA_LAT has 2311 (19.1%) zeros Zeros

Reproduction

Analysis started2022-07-26 10:01:16.302312
Analysis finished2022-07-26 10:01:17.751828
Duration1.45 second
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

REGIONC
Real number (ℝ≥0)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.628320781
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:17.816926image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.04214249
Coefficient of variation (CV)0.3965050603
Kurtosis-1.129020142
Mean2.628320781
Median Absolute Deviation (MAD)1
Skewness-0.2073723394
Sum31758
Variance1.086060969
MonotonicityNot monotonic
2022-07-26T03:01:17.943955image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
34090
33.8%
42884
23.9%
22843
23.5%
12266
18.8%
ValueCountFrequency (%)
12266
18.8%
22843
23.5%
34090
33.8%
42884
23.9%
ValueCountFrequency (%)
42884
23.9%
34090
33.8%
22843
23.5%
12266
18.8%

DIVISION
Real number (ℝ≥0)

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.373086154
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:18.055699image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q37
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.859366155
Coefficient of variation (CV)0.5321645834
Kurtosis-1.018018912
Mean5.373086154
Median Absolute Deviation (MAD)2
Skewness0.3080151138
Sum64923
Variance8.175974807
MonotonicityNot monotonic
2022-07-26T03:01:18.089608image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
52246
18.6%
102072
17.1%
41693
14.0%
21328
11.0%
71230
10.2%
31150
9.5%
1938
7.8%
6614
 
5.1%
8445
 
3.7%
9367
 
3.0%
ValueCountFrequency (%)
1938
7.8%
21328
11.0%
31150
9.5%
41693
14.0%
52246
18.6%
ValueCountFrequency (%)
102072
17.1%
9367
 
3.0%
8445
 
3.7%
71230
10.2%
6614
 
5.1%

REPORTABLE_DOMAIN
Real number (ℝ≥0)

Distinct27
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.783663
Minimum1
Maximum27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:18.128438image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median15
Q321
95-th percentile26
Maximum27
Range26
Interquartile range (IQR)13

Descriptive statistics

Standard deviation8.195824288
Coefficient of variation (CV)0.5543838688
Kurtosis-1.217506383
Mean14.783663
Median Absolute Deviation (MAD)7
Skewness-0.1094434846
Sum178631
Variance67.17153576
MonotonicityNot monotonic
2022-07-26T03:01:18.170603image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
261606
 
13.3%
21991
 
8.2%
17948
 
7.8%
3839
 
6.9%
10699
 
5.8%
12686
 
5.7%
2501
 
4.1%
27466
 
3.9%
15440
 
3.6%
1437
 
3.6%
Other values (17)4470
37.0%
ValueCountFrequency (%)
1437
3.6%
2501
4.1%
3839
6.9%
4204
 
1.7%
5285
 
2.4%
ValueCountFrequency (%)
27466
 
3.9%
261606
13.3%
25141
 
1.2%
24226
 
1.9%
23150
 
1.2%

TYPEHUQ
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.659604403
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:18.207667image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.19262733
Coefficient of variation (CV)0.448422829
Kurtosis-0.2879288707
Mean2.659604403
Median Absolute Deviation (MAD)0
Skewness1.083582717
Sum32136
Variance1.422359949
MonotonicityNot monotonic
2022-07-26T03:01:18.240747image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
27803
64.6%
51923
 
15.9%
4926
 
7.7%
3890
 
7.4%
1541
 
4.5%
ValueCountFrequency (%)
1541
 
4.5%
27803
64.6%
3890
 
7.4%
4926
 
7.7%
51923
 
15.9%
ValueCountFrequency (%)
51923
 
15.9%
4926
 
7.7%
3890
 
7.4%
27803
64.6%
1541
 
4.5%

NWEIGHT
Real number (ℝ≥0)

Distinct3612
Distinct (%)29.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9402.98187
Minimum476.1
Maximum95779.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:18.286818image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum476.1
5-th percentile3520.88
Q16297.04
median7970.63
Q311330.03
95-th percentile18391.193
Maximum95779.14
Range95303.04
Interquartile range (IQR)5032.99

Descriptive statistics

Standard deviation5192.101419
Coefficient of variation (CV)0.5521760535
Kurtosis18.26028351
Mean9402.98187
Median Absolute Deviation (MAD)2299.53
Skewness2.71910073
Sum113616229.9
Variance26957917.15
MonotonicityNot monotonic
2022-07-26T03:01:18.336224image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7169.31149
 
1.2%
4751.97108
 
0.9%
6297.0496
 
0.8%
2778.2686
 
0.7%
5629.172
 
0.6%
7264.4761
 
0.5%
8345.5559
 
0.5%
4232.4959
 
0.5%
4697.2148
 
0.4%
2935.6848
 
0.4%
Other values (3602)11297
93.5%
ValueCountFrequency (%)
476.11
< 0.1%
568.261
< 0.1%
663.141
< 0.1%
899.041
< 0.1%
1001.461
< 0.1%
ValueCountFrequency (%)
95779.141
< 0.1%
788631
< 0.1%
64685.941
< 0.1%
59322.471
< 0.1%
55997.441
< 0.1%

HDD65
Real number (ℝ≥0)

Distinct6123
Distinct (%)50.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4141.375238
Minimum0
Maximum12525
Zeros19
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:18.384451image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile605.1
Q12197.5
median4483
Q35913
95-th percentile7792
Maximum12525
Range12525
Interquartile range (IQR)3715.5

Descriptive statistics

Standard deviation2317.759375
Coefficient of variation (CV)0.5596593502
Kurtosis-0.8553462859
Mean4141.375238
Median Absolute Deviation (MAD)1903
Skewness0.07903056221
Sum50040237
Variance5372008.519
MonotonicityNot monotonic
2022-07-26T03:01:18.504596image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019
 
0.2%
114210
 
0.1%
13809
 
0.1%
50878
 
0.1%
10428
 
0.1%
24338
 
0.1%
48398
 
0.1%
45427
 
0.1%
12357
 
0.1%
11967
 
0.1%
Other values (6113)11992
99.2%
ValueCountFrequency (%)
019
0.2%
31
 
< 0.1%
61
 
< 0.1%
91
 
< 0.1%
101
 
< 0.1%
ValueCountFrequency (%)
125251
< 0.1%
119331
< 0.1%
118251
< 0.1%
116791
< 0.1%
116421
< 0.1%

CDD65
Real number (ℝ≥0)

Distinct3573
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1415.406108
Minimum0
Maximum5480
Zeros15
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:18.554612image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile261
Q1561
median1045
Q31897
95-th percentile3864.9
Maximum5480
Range5480
Interquartile range (IQR)1336

Descriptive statistics

Standard deviation1134.659475
Coefficient of variation (CV)0.8016494128
Kurtosis0.5524120468
Mean1415.406108
Median Absolute Deviation (MAD)576
Skewness1.187693363
Sum17102352
Variance1287452.125
MonotonicityNot monotonic
2022-07-26T03:01:18.599314image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38017
 
0.1%
33616
 
0.1%
44316
 
0.1%
39215
 
0.1%
34415
 
0.1%
69815
 
0.1%
015
 
0.1%
39915
 
0.1%
73215
 
0.1%
39815
 
0.1%
Other values (3563)11929
98.7%
ValueCountFrequency (%)
015
0.1%
11
 
< 0.1%
21
 
< 0.1%
53
 
< 0.1%
63
 
< 0.1%
ValueCountFrequency (%)
54801
< 0.1%
54101
< 0.1%
54072
< 0.1%
52461
< 0.1%
52021
< 0.1%

HDD30YR
Real number (ℝ≥0)

Distinct6099
Distinct (%)50.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4135.146983
Minimum0
Maximum13346
Zeros25
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:18.645825image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile582.1
Q12224
median4502
Q35854
95-th percentile7662
Maximum13346
Range13346
Interquartile range (IQR)3630

Descriptive statistics

Standard deviation2260.543686
Coefficient of variation (CV)0.5466658609
Kurtosis-0.8736106074
Mean4135.146983
Median Absolute Deviation (MAD)1855
Skewness0.05165772005
Sum49964981
Variance5110057.754
MonotonicityNot monotonic
2022-07-26T03:01:18.701040image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
025
 
0.2%
12479
 
0.1%
15569
 
0.1%
12278
 
0.1%
49568
 
0.1%
11518
 
0.1%
48168
 
0.1%
47648
 
0.1%
24468
 
0.1%
47838
 
0.1%
Other values (6089)11984
99.2%
ValueCountFrequency (%)
025
0.2%
11
 
< 0.1%
21
 
< 0.1%
54
 
< 0.1%
81
 
< 0.1%
ValueCountFrequency (%)
133461
< 0.1%
117911
< 0.1%
114721
< 0.1%
114071
< 0.1%
113531
< 0.1%

CDD30YR
Real number (ℝ≥0)

Distinct3528
Distinct (%)29.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1443.503104
Minimum0
Maximum5357
Zeros18
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:18.751381image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile254
Q1712
median1179
Q31842.5
95-th percentile3618.9
Maximum5357
Range5357
Interquartile range (IQR)1130.5

Descriptive statistics

Standard deviation1021.748722
Coefficient of variation (CV)0.707825788
Kurtosis0.6226378895
Mean1443.503104
Median Absolute Deviation (MAD)537
Skewness1.120993034
Sum17441848
Variance1043970.45
MonotonicityNot monotonic
2022-07-26T03:01:18.798839image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018
 
0.1%
87818
 
0.1%
79818
 
0.1%
72017
 
0.1%
83217
 
0.1%
77617
 
0.1%
79116
 
0.1%
120515
 
0.1%
138115
 
0.1%
78315
 
0.1%
Other values (3518)11917
98.6%
ValueCountFrequency (%)
018
0.1%
22
 
< 0.1%
31
 
< 0.1%
41
 
< 0.1%
62
 
< 0.1%
ValueCountFrequency (%)
53571
< 0.1%
49411
< 0.1%
49151
< 0.1%
48921
< 0.1%
48691
< 0.1%

Climate_Region_Pub
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.601009683
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:18.837792image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.349571461
Coefficient of variation (CV)0.518864451
Kurtosis-1.439977745
Mean2.601009683
Median Absolute Deviation (MAD)1
Skewness0.0811091323
Sum31428
Variance1.821343129
MonotonicityNot monotonic
2022-07-26T03:01:18.870547image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
13993
33.0%
43521
29.1%
32173
18.0%
21716
14.2%
5680
 
5.6%
ValueCountFrequency (%)
13993
33.0%
21716
14.2%
32173
18.0%
43521
29.1%
5680
 
5.6%
ValueCountFrequency (%)
5680
 
5.6%
43521
29.1%
32173
18.0%
21716
14.2%
13993
33.0%

AIA_Zone
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.265000414
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:18.906223image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.278651723
Coefficient of variation (CV)0.3916237554
Kurtosis-1.063036219
Mean3.265000414
Median Absolute Deviation (MAD)1
Skewness-0.1471033611
Sum39451
Variance1.63495023
MonotonicityNot monotonic
2022-07-26T03:01:18.937686image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
33079
25.5%
52684
22.2%
42668
22.1%
22470
20.4%
11182
 
9.8%
ValueCountFrequency (%)
11182
 
9.8%
22470
20.4%
33079
25.5%
42668
22.1%
52684
22.2%
ValueCountFrequency (%)
52684
22.2%
42668
22.1%
33079
25.5%
22470
20.4%
11182
 
9.8%

METROMICRO
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size94.5 KiB
METRO
10302 
MICRO
1109 
NONE
 
672

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMETRO
2nd rowMETRO
3rd rowMETRO
4th rowMETRO
5th rowMETRO

Common Values

ValueCountFrequency (%)
METRO10302
85.3%
MICRO1109
 
9.2%
NONE672
 
5.6%

Category Frequency Plot

2022-07-26T03:01:18.981915image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

UR
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size94.5 KiB
U
9656 
R
2427 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowU
2nd rowU
3rd rowU
4th rowU
5th rowU

Common Values

ValueCountFrequency (%)
U9656
79.9%
R2427
 
20.1%

Category Frequency Plot

2022-07-26T03:01:19.017298image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

KOWNRENT
Real number (ℝ≥0)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.338078292
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:19.045486image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4972986269
Coefficient of variation (CV)0.3716513675
Kurtosis-0.4021314941
Mean1.338078292
Median Absolute Deviation (MAD)0
Skewness0.9690077892
Sum16168
Variance0.2473059243
MonotonicityNot monotonic
2022-07-26T03:01:19.077913image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
18140
67.4%
23801
31.5%
3142
 
1.2%
ValueCountFrequency (%)
18140
67.4%
23801
31.5%
3142
 
1.2%
ValueCountFrequency (%)
3142
 
1.2%
23801
31.5%
18140
67.4%

CONDCOOP
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.801456592
Minimum-2
Maximum2
Zeros0
Zeros (%)0.0%
Negative11343
Negative (%)93.9%
Memory size94.5 KiB
2022-07-26T03:01:19.113883image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile1
Maximum2
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7845498629
Coefficient of variation (CV)-0.4355086136
Kurtosis12.72613298
Mean-1.801456592
Median Absolute Deviation (MAD)0
Skewness3.78485364
Sum-21767
Variance0.6155184873
MonotonicityNot monotonic
2022-07-26T03:01:19.144702image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-211343
93.9%
1561
 
4.6%
2179
 
1.5%
ValueCountFrequency (%)
-211343
93.9%
1561
 
4.6%
2179
 
1.5%
ValueCountFrequency (%)
2179
 
1.5%
1561
 
4.6%
-211343
93.9%

YEARMADE
Real number (ℝ≥0)

Distinct90
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1971.062402
Minimum1920
Maximum2009
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:19.187977image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1920
5-th percentile1920
Q11955
median1975
Q31991
95-th percentile2005
Maximum2009
Range89
Interquartile range (IQR)36

Descriptive statistics

Standard deviation24.81791153
Coefficient of variation (CV)0.01259113436
Kurtosis-0.580153818
Mean1971.062402
Median Absolute Deviation (MAD)18
Skewness-0.5394231813
Sum23816347
Variance615.9287328
MonotonicityNot monotonic
2022-07-26T03:01:19.231877image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1920897
 
7.4%
1950512
 
4.2%
1980494
 
4.1%
1970472
 
3.9%
1960450
 
3.7%
1990303
 
2.5%
2005294
 
2.4%
1975291
 
2.4%
1985266
 
2.2%
2000255
 
2.1%
Other values (80)7849
65.0%
ValueCountFrequency (%)
1920897
7.4%
192113
 
0.1%
192213
 
0.1%
192327
 
0.2%
192413
 
0.1%
ValueCountFrequency (%)
200931
 
0.3%
200881
 
0.7%
2007158
1.3%
2006164
1.4%
2005294
2.4%

YEARMADERANGE
Real number (ℝ≥0)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.027724903
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:19.268867image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.119577752
Coefficient of variation (CV)0.5262469019
Kurtosis-1.030642199
Mean4.027724903
Median Absolute Deviation (MAD)2
Skewness0.1182641208
Sum48667
Variance4.492609846
MonotonicityNot monotonic
2022-07-26T03:01:19.300253image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
12063
17.1%
42018
16.7%
51807
15.0%
61668
13.8%
21452
12.0%
31417
11.7%
7930
7.7%
8728
 
6.0%
ValueCountFrequency (%)
12063
17.1%
21452
12.0%
31417
11.7%
42018
16.7%
51807
15.0%
ValueCountFrequency (%)
8728
 
6.0%
7930
7.7%
61668
13.8%
51807
15.0%
42018
16.7%

OCCUPYYRANGE
Real number (ℝ≥0)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.691963916
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:19.414316image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q16
median7
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.535312147
Coefficient of variation (CV)0.2294262441
Kurtosis0.9155850669
Mean6.691963916
Median Absolute Deviation (MAD)1
Skewness-1.193492315
Sum80859
Variance2.357183388
MonotonicityNot monotonic
2022-07-26T03:01:19.444651image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
85268
43.6%
62318
19.2%
72220
18.4%
51004
 
8.3%
4703
 
5.8%
3346
 
2.9%
2173
 
1.4%
151
 
0.4%
ValueCountFrequency (%)
151
 
0.4%
2173
 
1.4%
3346
 
2.9%
4703
5.8%
51004
8.3%
ValueCountFrequency (%)
85268
43.6%
72220
18.4%
62318
19.2%
51004
 
8.3%
4703
 
5.8%

CONVERSION
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.752793181
Minimum-2
Maximum2
Zeros0
Zeros (%)0.0%
Negative11157
Negative (%)92.3%
Memory size94.5 KiB
2022-07-26T03:01:19.477360image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile1
Maximum2
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8658864898
Coefficient of variation (CV)-0.4940037989
Kurtosis9.177188198
Mean-1.752793181
Median Absolute Deviation (MAD)0
Skewness3.294192175
Sum-21179
Variance0.7497594132
MonotonicityNot monotonic
2022-07-26T03:01:19.507110image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-211157
92.3%
1717
 
5.9%
2209
 
1.7%
ValueCountFrequency (%)
-211157
92.3%
1717
 
5.9%
2209
 
1.7%
ValueCountFrequency (%)
2209
 
1.7%
1717
 
5.9%
-211157
92.3%

ORIG1FAM
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.952164198
Minimum-2
Maximum1
Zeros49
Zeros (%)0.4%
Negative11874
Negative (%)98.3%
Memory size94.5 KiB
2022-07-26T03:01:19.539655image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3648555764
Coefficient of variation (CV)-0.186897996
Kurtosis57.11542286
Mean-1.952164198
Median Absolute Deviation (MAD)0
Skewness7.635460355
Sum-23588
Variance0.1331195916
MonotonicityNot monotonic
2022-07-26T03:01:19.567691image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-211874
98.3%
1160
 
1.3%
049
 
0.4%
ValueCountFrequency (%)
-211874
98.3%
049
 
0.4%
1160
 
1.3%
ValueCountFrequency (%)
1160
 
1.3%
049
 
0.4%
-211874
98.3%

LOOKLIKE
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.955640156
Minimum-2
Maximum2
Zeros0
Zeros (%)0.0%
Negative11923
Negative (%)98.7%
Memory size94.5 KiB
2022-07-26T03:01:19.599114image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum2
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.386862464
Coefficient of variation (CV)-0.1978188385
Kurtosis77.0294999
Mean-1.955640156
Median Absolute Deviation (MAD)0
Skewness8.793466796
Sum-23630
Variance0.1496625661
MonotonicityNot monotonic
2022-07-26T03:01:19.629039image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-211923
98.7%
1104
 
0.9%
256
 
0.5%
ValueCountFrequency (%)
-211923
98.7%
1104
 
0.9%
256
 
0.5%
ValueCountFrequency (%)
256
 
0.5%
1104
 
0.9%
-211923
98.7%

NUMFLRS
Real number (ℝ)

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.066705288
Minimum-2
Maximum35
Zeros0
Zeros (%)0.0%
Negative10160
Negative (%)84.1%
Memory size94.5 KiB
2022-07-26T03:01:19.665190image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile3
Maximum35
Range37
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.766326167
Coefficient of variation (CV)-2.593336883
Kurtosis41.95262917
Mean-1.066705288
Median Absolute Deviation (MAD)0
Skewness5.353859135
Sum-12889
Variance7.652560465
MonotonicityNot monotonic
2022-07-26T03:01:19.698985image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-210160
84.1%
2739
 
6.1%
3591
 
4.9%
1149
 
1.2%
4127
 
1.1%
575
 
0.6%
662
 
0.5%
2151
 
0.4%
719
 
0.2%
2015
 
0.1%
Other values (9)95
 
0.8%
ValueCountFrequency (%)
-210160
84.1%
1149
 
1.2%
2739
 
6.1%
3591
 
4.9%
4127
 
1.1%
ValueCountFrequency (%)
358
 
0.1%
2151
0.4%
2015
 
0.1%
1511
 
0.1%
1410
 
0.1%

NUMAPTS
Real number (ℝ)

Distinct108
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.486716875
Minimum-2
Maximum365
Zeros0
Zeros (%)0.0%
Negative10160
Negative (%)84.1%
Memory size94.5 KiB
2022-07-26T03:01:19.741846image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile25
Maximum365
Range367
Interquartile range (IQR)0

Descriptive statistics

Standard deviation29.66257381
Coefficient of variation (CV)6.61119804
Kurtosis77.80584989
Mean4.486716875
Median Absolute Deviation (MAD)0
Skewness8.145048055
Sum54213
Variance879.8682849
MonotonicityNot monotonic
2022-07-26T03:01:19.786911image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-210160
84.1%
8310
 
2.6%
12227
 
1.9%
6186
 
1.5%
10103
 
0.9%
2475
 
0.6%
575
 
0.6%
1673
 
0.6%
2070
 
0.6%
3054
 
0.4%
Other values (98)750
 
6.2%
ValueCountFrequency (%)
-210160
84.1%
575
 
0.6%
6186
 
1.5%
736
 
0.3%
8310
 
2.6%
ValueCountFrequency (%)
36512
0.1%
32212
0.1%
31626
0.2%
31313
0.1%
20022
0.2%

WALLTYPE
Real number (ℝ≥0)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.738889349
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:19.826705image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.512820998
Coefficient of variation (CV)0.5523483445
Kurtosis1.905806063
Mean2.738889349
Median Absolute Deviation (MAD)1
Skewness1.1635836
Sum33094
Variance2.288627371
MonotonicityNot monotonic
2022-07-26T03:01:19.859035image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
34104
34.0%
12971
24.6%
22279
18.9%
41820
15.1%
7555
 
4.6%
5191
 
1.6%
6109
 
0.9%
947
 
0.4%
87
 
0.1%
ValueCountFrequency (%)
12971
24.6%
22279
18.9%
34104
34.0%
41820
15.1%
5191
 
1.6%
ValueCountFrequency (%)
947
 
0.4%
87
 
0.1%
7555
4.6%
6109
 
0.9%
5191
 
1.6%

ROOFTYPE
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.676156584
Minimum-2
Maximum8
Zeros0
Zeros (%)0.0%
Negative1923
Negative (%)15.9%
Memory size94.5 KiB
2022-07-26T03:01:19.894401image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q12
median5
Q35
95-th percentile6
Maximum8
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.772088171
Coefficient of variation (CV)0.7540723873
Kurtosis0.03355116036
Mean3.676156584
Median Absolute Deviation (MAD)1
Skewness-1.196074061
Sum44419
Variance7.684472828
MonotonicityNot monotonic
2022-07-26T03:01:19.926609image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
55821
48.2%
62109
 
17.5%
-21923
 
15.9%
2719
 
6.0%
3682
 
5.6%
1415
 
3.4%
7157
 
1.3%
4137
 
1.1%
8120
 
1.0%
ValueCountFrequency (%)
-21923
15.9%
1415
 
3.4%
2719
 
6.0%
3682
 
5.6%
4137
 
1.1%
ValueCountFrequency (%)
8120
 
1.0%
7157
 
1.3%
62109
 
17.5%
55821
48.2%
4137
 
1.1%

STUDIO
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.510634776
Minimum-2
Maximum1
Zeros2634
Zeros (%)21.8%
Negative9234
Negative (%)76.4%
Memory size94.5 KiB
2022-07-26T03:01:19.957133image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8903361796
Coefficient of variation (CV)-0.589378845
Kurtosis0.002421464226
Mean-1.510634776
Median Absolute Deviation (MAD)0
Skewness1.33718954
Sum-18253
Variance0.7926985128
MonotonicityNot monotonic
2022-07-26T03:01:19.984287image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-29234
76.4%
02634
 
21.8%
1215
 
1.8%
ValueCountFrequency (%)
-29234
76.4%
02634
 
21.8%
1215
 
1.8%
ValueCountFrequency (%)
1215
 
1.8%
02634
 
21.8%
-29234
76.4%

NAPTFLRS
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.269635024
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative9234
Negative (%)76.4%
Memory size94.5 KiB
2022-07-26T03:01:20.013718image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile1
Maximum3
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.32368968
Coefficient of variation (CV)-1.042574956
Kurtosis-0.1835146563
Mean-1.269635024
Median Absolute Deviation (MAD)0
Skewness1.301091555
Sum-15341
Variance1.752154369
MonotonicityNot monotonic
2022-07-26T03:01:20.043477image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-29234
76.4%
12585
 
21.4%
2250
 
2.1%
314
 
0.1%
ValueCountFrequency (%)
-29234
76.4%
12585
 
21.4%
2250
 
2.1%
314
 
0.1%
ValueCountFrequency (%)
314
 
0.1%
2250
 
2.1%
12585
 
21.4%
-29234
76.4%

STORIES
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.50773814
Minimum-2
Maximum40
Zeros0
Zeros (%)0.0%
Negative2849
Negative (%)23.6%
Memory size94.5 KiB
2022-07-26T03:01:20.074082image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q110
median10
Q320
95-th percentile20
Maximum40
Range42
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.77901002
Coefficient of variation (CV)0.8354804715
Kurtosis0.1678414111
Mean10.50773814
Median Absolute Deviation (MAD)10
Skewness0.2616383263
Sum126965
Variance77.07101692
MonotonicityNot monotonic
2022-07-26T03:01:20.102433image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
105665
46.9%
203255
26.9%
-22849
23.6%
31175
 
1.4%
40130
 
1.1%
329
 
0.1%
ValueCountFrequency (%)
-22849
23.6%
105665
46.9%
203255
26.9%
31175
 
1.4%
329
 
0.1%
ValueCountFrequency (%)
40130
 
1.1%
329
 
0.1%
31175
 
1.4%
203255
26.9%
105665
46.9%

TYPEHUQ4
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.899693785
Minimum-2
Maximum1
Zeros411
Zeros (%)3.4%
Negative11542
Negative (%)95.5%
Memory size94.5 KiB
2022-07-26T03:01:20.131299image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4720659798
Coefficient of variation (CV)-0.2484958279
Kurtosis21.25251839
Mean-1.899693785
Median Absolute Deviation (MAD)0
Skewness4.702260994
Sum-22954
Variance0.2228462893
MonotonicityNot monotonic
2022-07-26T03:01:20.159431image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-211542
95.5%
0411
 
3.4%
1130
 
1.1%
ValueCountFrequency (%)
-211542
95.5%
0411
 
3.4%
1130
 
1.1%
ValueCountFrequency (%)
1130
 
1.1%
0411
 
3.4%
-211542
95.5%

BEDROOMS
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.773069602
Minimum-2
Maximum13
Zeros3
Zeros (%)< 0.1%
Negative215
Negative (%)1.8%
Memory size94.5 KiB
2022-07-26T03:01:20.191404image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum13
Range15
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.217654062
Coefficient of variation (CV)0.4390997114
Kurtosis3.468589449
Mean2.773069602
Median Absolute Deviation (MAD)1
Skewness-0.6982054496
Sum33507
Variance1.482681414
MonotonicityNot monotonic
2022-07-26T03:01:20.222884image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
34860
40.2%
23027
25.1%
42202
18.2%
11130
 
9.4%
5545
 
4.5%
-2215
 
1.8%
680
 
0.7%
714
 
0.1%
85
 
< 0.1%
03
 
< 0.1%
Other values (2)2
 
< 0.1%
ValueCountFrequency (%)
-2215
 
1.8%
03
 
< 0.1%
11130
 
9.4%
23027
25.1%
34860
40.2%
ValueCountFrequency (%)
131
 
< 0.1%
91
 
< 0.1%
85
 
< 0.1%
714
 
0.1%
680
0.7%

NCOMBATH
Real number (ℝ≥0)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.672101299
Minimum0
Maximum8
Zeros21
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:20.257646image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7407133685
Coefficient of variation (CV)0.4429835494
Kurtosis2.234972924
Mean1.672101299
Median Absolute Deviation (MAD)1
Skewness1.115189503
Sum20204
Variance0.5486562943
MonotonicityNot monotonic
2022-07-26T03:01:20.364078image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
15535
45.8%
25193
43.0%
31102
 
9.1%
4195
 
1.6%
529
 
0.2%
021
 
0.2%
65
 
< 0.1%
72
 
< 0.1%
81
 
< 0.1%
ValueCountFrequency (%)
021
 
0.2%
15535
45.8%
25193
43.0%
31102
 
9.1%
4195
 
1.6%
ValueCountFrequency (%)
81
 
< 0.1%
72
 
< 0.1%
65
 
< 0.1%
529
 
0.2%
4195
1.6%

NHAFBATH
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.307787801
Minimum0
Maximum9
Zeros8592
Zeros (%)71.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:20.396835image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5077072893
Coefficient of variation (CV)1.649536751
Kurtosis8.028364937
Mean0.307787801
Median Absolute Deviation (MAD)0
Skewness1.707258377
Sum3719
Variance0.2577666916
MonotonicityNot monotonic
2022-07-26T03:01:20.424814image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
08592
71.1%
13284
 
27.2%
2192
 
1.6%
314
 
0.1%
91
 
< 0.1%
ValueCountFrequency (%)
08592
71.1%
13284
 
27.2%
2192
 
1.6%
314
 
0.1%
91
 
< 0.1%
ValueCountFrequency (%)
91
 
< 0.1%
314
 
0.1%
2192
 
1.6%
13284
 
27.2%
08592
71.1%

OTHROOMS
Real number (ℝ≥0)

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.186625838
Minimum1
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:20.455652image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum17
Range16
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.397912659
Coefficient of variation (CV)0.4386811412
Kurtosis3.406824799
Mean3.186625838
Median Absolute Deviation (MAD)1
Skewness1.232130542
Sum38504
Variance1.954159803
MonotonicityNot monotonic
2022-07-26T03:01:20.486862image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
33637
30.1%
23626
30.0%
42328
19.3%
51094
 
9.1%
1669
 
5.5%
6419
 
3.5%
7209
 
1.7%
847
 
0.4%
931
 
0.3%
1011
 
0.1%
Other values (5)12
 
0.1%
ValueCountFrequency (%)
1669
 
5.5%
23626
30.0%
33637
30.1%
42328
19.3%
51094
 
9.1%
ValueCountFrequency (%)
171
 
< 0.1%
141
 
< 0.1%
132
 
< 0.1%
123
< 0.1%
115
< 0.1%

TOTROOMS
Real number (ℝ≥0)

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.995282628
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:20.523459image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q37
95-th percentile10
Maximum23
Range22
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.178903133
Coefficient of variation (CV)0.3634362662
Kurtosis1.376974386
Mean5.995282628
Median Absolute Deviation (MAD)1
Skewness0.5587325421
Sum72441
Variance4.747618864
MonotonicityNot monotonic
2022-07-26T03:01:20.557380image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
62369
19.6%
52199
18.2%
71784
14.8%
41766
14.6%
81296
10.7%
3862
 
7.1%
9716
 
5.9%
10375
 
3.1%
1216
 
1.8%
11173
 
1.4%
Other values (11)327
 
2.7%
ValueCountFrequency (%)
1216
 
1.8%
2169
 
1.4%
3862
 
7.1%
41766
14.6%
52199
18.2%
ValueCountFrequency (%)
231
 
< 0.1%
211
 
< 0.1%
191
 
< 0.1%
182
< 0.1%
173
< 0.1%

CELLAR
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.081685012
Minimum-2
Maximum1
Zeros5678
Zeros (%)47.0%
Negative2464
Negative (%)20.4%
Memory size94.5 KiB
2022-07-26T03:01:20.588190image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q10
median0
Q31
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.065492236
Coefficient of variation (CV)-13.04391356
Kurtosis-0.5102252123
Mean-0.081685012
Median Absolute Deviation (MAD)1
Skewness-0.8488170316
Sum-987
Variance1.135273704
MonotonicityNot monotonic
2022-07-26T03:01:20.616704image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
05678
47.0%
13941
32.6%
-22464
20.4%
ValueCountFrequency (%)
-22464
20.4%
05678
47.0%
13941
32.6%
ValueCountFrequency (%)
13941
32.6%
05678
47.0%
-22464
20.4%

CRAWL
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1886120996
Minimum-2
Maximum1
Zeros6970
Zeros (%)57.7%
Negative2464
Negative (%)20.4%
Memory size94.5 KiB
2022-07-26T03:01:20.647442image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q10
median0
Q30
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9997166055
Coefficient of variation (CV)-5.300384267
Kurtosis-0.3625184587
Mean-0.1886120996
Median Absolute Deviation (MAD)0
Skewness-0.8408939852
Sum-2279
Variance0.9994332913
MonotonicityNot monotonic
2022-07-26T03:01:20.675044image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
06970
57.7%
12649
 
21.9%
-22464
 
20.4%
ValueCountFrequency (%)
-22464
 
20.4%
06970
57.7%
12649
 
21.9%
ValueCountFrequency (%)
12649
 
21.9%
06970
57.7%
-22464
 
20.4%

CONCRETE
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02822146818
Minimum-2
Maximum1
Zeros5032
Zeros (%)41.6%
Negative2464
Negative (%)20.4%
Memory size94.5 KiB
2022-07-26T03:01:20.705444image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q10
median0
Q31
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.092985887
Coefficient of variation (CV)-38.72888115
Kurtosis-0.5420554309
Mean-0.02822146818
Median Absolute Deviation (MAD)1
Skewness-0.8814336931
Sum-341
Variance1.194618149
MonotonicityNot monotonic
2022-07-26T03:01:20.733098image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
05032
41.6%
14587
38.0%
-22464
20.4%
ValueCountFrequency (%)
-22464
20.4%
05032
41.6%
14587
38.0%
ValueCountFrequency (%)
14587
38.0%
05032
41.6%
-22464
20.4%

BASEFIN
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.183729206
Minimum-2
Maximum1
Zeros1960
Zeros (%)16.2%
Negative8142
Negative (%)67.4%
Memory size94.5 KiB
2022-07-26T03:01:20.763711image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q30
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.207564621
Coefficient of variation (CV)-1.020135867
Kurtosis-0.9557673091
Mean-1.183729206
Median Absolute Deviation (MAD)0
Skewness0.9144550713
Sum-14303
Variance1.458212313
MonotonicityNot monotonic
2022-07-26T03:01:20.792817image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-28142
67.4%
11981
 
16.4%
01960
 
16.2%
ValueCountFrequency (%)
-28142
67.4%
01960
 
16.2%
11981
 
16.4%
ValueCountFrequency (%)
11981
 
16.4%
01960
 
16.2%
-28142
67.4%

FINBASERMS
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.330050484
Minimum-2
Maximum5
Zeros0
Zeros (%)0.0%
Negative10102
Negative (%)83.6%
Memory size94.5 KiB
2022-07-26T03:01:20.826003image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile3
Maximum5
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.5890954
Coefficient of variation (CV)-1.194763221
Kurtosis3.834015636
Mean-1.330050484
Median Absolute Deviation (MAD)0
Skewness2.234965424
Sum-16071
Variance2.52522419
MonotonicityNot monotonic
2022-07-26T03:01:20.856655image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-210102
83.6%
1843
 
7.0%
2519
 
4.3%
3335
 
2.8%
4173
 
1.4%
5111
 
0.9%
ValueCountFrequency (%)
-210102
83.6%
1843
 
7.0%
2519
 
4.3%
3335
 
2.8%
4173
 
1.4%
ValueCountFrequency (%)
5111
 
0.9%
4173
 
1.4%
3335
 
2.8%
2519
4.3%
1843
7.0%

BASEHEAT
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.171480593
Minimum-2
Maximum1
Zeros1812
Zeros (%)15.0%
Negative8142
Negative (%)67.4%
Memory size94.5 KiB
2022-07-26T03:01:20.889117image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q30
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.224464121
Coefficient of variation (CV)-1.045227833
Kurtosis-0.9899173893
Mean-1.171480593
Median Absolute Deviation (MAD)0
Skewness0.9055226069
Sum-14155
Variance1.499312383
MonotonicityNot monotonic
2022-07-26T03:01:20.918659image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-28142
67.4%
12129
 
17.6%
01812
 
15.0%
ValueCountFrequency (%)
-28142
67.4%
01812
 
15.0%
12129
 
17.6%
ValueCountFrequency (%)
12129
 
17.6%
01812
 
15.0%
-28142
67.4%

BASEHT2
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.418687412
Minimum-2
Maximum2
Zeros0
Zeros (%)0.0%
Negative9954
Negative (%)82.4%
Memory size94.5 KiB
2022-07-26T03:01:20.951572image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile2
Maximum2
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.271621818
Coefficient of variation (CV)-0.8963368584
Kurtosis1.407974592
Mean-1.418687412
Median Absolute Deviation (MAD)0
Skewness1.795831481
Sum-17142
Variance1.617022048
MonotonicityNot monotonic
2022-07-26T03:01:20.981470image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-29954
82.4%
11492
 
12.3%
2637
 
5.3%
ValueCountFrequency (%)
-29954
82.4%
11492
 
12.3%
2637
 
5.3%
ValueCountFrequency (%)
2637
 
5.3%
11492
 
12.3%
-29954
82.4%

PCTBSTHT
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.741372176
Minimum-2
Maximum5
Zeros0
Zeros (%)0.0%
Negative11446
Negative (%)94.7%
Memory size94.5 KiB
2022-07-26T03:01:21.014288image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile1
Maximum5
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.12026332
Coefficient of variation (CV)-0.6433221661
Kurtosis17.07132973
Mean-1.741372176
Median Absolute Deviation (MAD)0
Skewness4.277999324
Sum-21041
Variance1.254989906
MonotonicityNot monotonic
2022-07-26T03:01:21.043709image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-211446
94.7%
3270
 
2.2%
2146
 
1.2%
4128
 
1.1%
157
 
0.5%
536
 
0.3%
ValueCountFrequency (%)
-211446
94.7%
157
 
0.5%
2146
 
1.2%
3270
 
2.2%
4128
 
1.1%
ValueCountFrequency (%)
536
 
0.3%
4128
1.1%
3270
2.2%
2146
1.2%
157
 
0.5%

BASECOOL
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.255234627
Minimum-2
Maximum1
Zeros2824
Zeros (%)23.4%
Negative8142
Negative (%)67.4%
Memory size94.5 KiB
2022-07-26T03:01:21.076097image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q30
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.101039238
Coefficient of variation (CV)-0.8771581138
Kurtosis-0.8364496146
Mean-1.255234627
Median Absolute Deviation (MAD)0
Skewness0.9323972457
Sum-15167
Variance1.212287404
MonotonicityNot monotonic
2022-07-26T03:01:21.105540image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-28142
67.4%
02824
 
23.4%
11117
 
9.2%
ValueCountFrequency (%)
-28142
67.4%
02824
 
23.4%
11117
 
9.2%
ValueCountFrequency (%)
11117
 
9.2%
02824
 
23.4%
-28142
67.4%

BASECL2
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.699081354
Minimum-2
Maximum2
Zeros0
Zeros (%)0.0%
Negative10966
Negative (%)90.8%
Memory size94.5 KiB
2022-07-26T03:01:21.139191image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile1
Maximum2
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.952169297
Coefficient of variation (CV)-0.5604024167
Kurtosis6.832518187
Mean-1.699081354
Median Absolute Deviation (MAD)0
Skewness2.92342717
Sum-20530
Variance0.9066263701
MonotonicityNot monotonic
2022-07-26T03:01:21.168778image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-210966
90.8%
1832
 
6.9%
2285
 
2.4%
ValueCountFrequency (%)
-210966
90.8%
1832
 
6.9%
2285
 
2.4%
ValueCountFrequency (%)
2285
 
2.4%
1832
 
6.9%
-210966
90.8%

PCTBSTCL
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.882479517
Minimum-2
Maximum5
Zeros0
Zeros (%)0.0%
Negative11798
Negative (%)97.6%
Memory size94.5 KiB
2022-07-26T03:01:21.201574image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum5
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7703064545
Coefficient of variation (CV)-0.4091977882
Kurtosis43.32331924
Mean-1.882479517
Median Absolute Deviation (MAD)0
Skewness6.625517098
Sum-22746
Variance0.5933720339
MonotonicityNot monotonic
2022-07-26T03:01:21.231666image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-211798
97.6%
3129
 
1.1%
463
 
0.5%
258
 
0.5%
120
 
0.2%
515
 
0.1%
ValueCountFrequency (%)
-211798
97.6%
120
 
0.2%
258
 
0.5%
3129
 
1.1%
463
 
0.5%
ValueCountFrequency (%)
515
 
0.1%
463
0.5%
3129
1.1%
258
0.5%
120
 
0.2%

BASEUSE
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.024497228
Minimum-2
Maximum2
Zeros112
Zeros (%)0.9%
Negative8142
Negative (%)67.4%
Memory size94.5 KiB
2022-07-26T03:01:21.341094image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q31
95-th percentile1
Maximum2
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.40772424
Coefficient of variation (CV)-1.374063494
Kurtosis-1.379175991
Mean-1.024497228
Median Absolute Deviation (MAD)0
Skewness0.7657678409
Sum-12379
Variance1.981687537
MonotonicityNot monotonic
2022-07-26T03:01:21.372639image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-28142
67.4%
13753
31.1%
0112
 
0.9%
276
 
0.6%
ValueCountFrequency (%)
-28142
67.4%
0112
 
0.9%
13753
31.1%
276
 
0.6%
ValueCountFrequency (%)
276
 
0.6%
13753
31.1%
0112
 
0.9%
-28142
67.4%

ATTIC
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1554249772
Minimum-2
Maximum1
Zeros6569
Zeros (%)54.4%
Negative2464
Negative (%)20.4%
Memory size94.5 KiB
2022-07-26T03:01:21.406491image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q10
median0
Q31
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.021783591
Coefficient of variation (CV)-6.57412733
Kurtosis-0.4204527448
Mean-0.1554249772
Median Absolute Deviation (MAD)0
Skewness-0.8330247358
Sum-1878
Variance1.044041706
MonotonicityNot monotonic
2022-07-26T03:01:21.434551image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
06569
54.4%
13050
25.2%
-22464
 
20.4%
ValueCountFrequency (%)
-22464
 
20.4%
06569
54.4%
13050
25.2%
ValueCountFrequency (%)
13050
25.2%
06569
54.4%
-22464
 
20.4%

ATTICFIN
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.47347513
Minimum-2
Maximum1
Zeros2788
Zeros (%)23.1%
Negative9033
Negative (%)74.8%
Memory size94.5 KiB
2022-07-26T03:01:21.468311image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q30
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9170283356
Coefficient of variation (CV)-0.6223575252
Kurtosis-0.2321960138
Mean-1.47347513
Median Absolute Deviation (MAD)0
Skewness1.241496544
Sum-17804
Variance0.8409409683
MonotonicityNot monotonic
2022-07-26T03:01:21.497525image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-29033
74.8%
02788
 
23.1%
1262
 
2.2%
ValueCountFrequency (%)
-29033
74.8%
02788
 
23.1%
1262
 
2.2%
ValueCountFrequency (%)
1262
 
2.2%
02788
 
23.1%
-29033
74.8%

FINATTRMS
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.929404949
Minimum-2
Maximum4
Zeros0
Zeros (%)0.0%
Negative11821
Negative (%)97.8%
Memory size94.5 KiB
2022-07-26T03:01:21.528486image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum4
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4821582848
Coefficient of variation (CV)-0.2498999938
Kurtosis49.99059854
Mean-1.929404949
Median Absolute Deviation (MAD)0
Skewness6.998165255
Sum-23313
Variance0.2324766116
MonotonicityNot monotonic
2022-07-26T03:01:21.557859image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-211821
97.8%
1213
 
1.8%
234
 
0.3%
312
 
0.1%
43
 
< 0.1%
ValueCountFrequency (%)
-211821
97.8%
1213
 
1.8%
234
 
0.3%
312
 
0.1%
43
 
< 0.1%
ValueCountFrequency (%)
43
 
< 0.1%
312
 
0.1%
234
 
0.3%
1213
 
1.8%
-211821
97.8%

ATTCHEAT
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.485723744
Minimum-2
Maximum1
Zeros2936
Zeros (%)24.3%
Negative9033
Negative (%)74.8%
Memory size94.5 KiB
2022-07-26T03:01:21.588720image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q30
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8901922583
Coefficient of variation (CV)-0.5991640517
Kurtosis-0.4570244921
Mean-1.485723744
Median Absolute Deviation (MAD)0
Skewness1.191219906
Sum-17952
Variance0.7924422567
MonotonicityNot monotonic
2022-07-26T03:01:21.615989image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-29033
74.8%
02936
 
24.3%
1114
 
0.9%
ValueCountFrequency (%)
-29033
74.8%
02936
 
24.3%
1114
 
0.9%
ValueCountFrequency (%)
1114
 
0.9%
02936
 
24.3%
-29033
74.8%

ATTCHT2
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.969212944
Minimum-2
Maximum2
Zeros0
Zeros (%)0.0%
Negative11969
Negative (%)99.1%
Memory size94.5 KiB
2022-07-26T03:01:21.646957image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum2
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3183598943
Coefficient of variation (CV)-0.1616685972
Kurtosis109.6575252
Mean-1.969212944
Median Absolute Deviation (MAD)0
Skewness10.45339386
Sum-23794
Variance0.1013530223
MonotonicityNot monotonic
2022-07-26T03:01:21.676956image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-211969
99.1%
184
 
0.7%
230
 
0.2%
ValueCountFrequency (%)
-211969
99.1%
184
 
0.7%
230
 
0.2%
ValueCountFrequency (%)
230
 
0.2%
184
 
0.7%
-211969
99.1%

PCTATTHT
Real number (ℝ)

SKEWED

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.988330713
Minimum-2
Maximum4
Zeros0
Zeros (%)0.0%
Negative12053
Negative (%)99.8%
Memory size94.5 KiB
2022-07-26T03:01:21.709605image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum4
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2388646777
Coefficient of variation (CV)-0.1201332737
Kurtosis461.5735644
Mean-1.988330713
Median Absolute Deviation (MAD)0
Skewness21.19138325
Sum-24025
Variance0.05705633426
MonotonicityNot monotonic
2022-07-26T03:01:21.741197image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-212053
99.8%
211
 
0.1%
38
 
0.1%
48
 
0.1%
13
 
< 0.1%
ValueCountFrequency (%)
-212053
99.8%
13
 
< 0.1%
211
 
0.1%
38
 
0.1%
48
 
0.1%
ValueCountFrequency (%)
48
 
0.1%
38
 
0.1%
211
 
0.1%
13
 
< 0.1%
-212053
99.8%

ATTCCOOL
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.487792767
Minimum-2
Maximum1
Zeros2961
Zeros (%)24.5%
Negative9033
Negative (%)74.8%
Memory size94.5 KiB
2022-07-26T03:01:21.772385image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q30
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.885562127
Coefficient of variation (CV)-0.595218734
Kurtosis-0.5045112712
Mean-1.487792767
Median Absolute Deviation (MAD)0
Skewness1.181016605
Sum-17977
Variance0.7842202808
MonotonicityNot monotonic
2022-07-26T03:01:21.799921image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-29033
74.8%
02961
 
24.5%
189
 
0.7%
ValueCountFrequency (%)
-29033
74.8%
02961
 
24.5%
189
 
0.7%
ValueCountFrequency (%)
189
 
0.7%
02961
 
24.5%
-29033
74.8%

ATTCCL2
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.975751055
Minimum-2
Maximum2
Zeros0
Zeros (%)0.0%
Negative11994
Negative (%)99.3%
Memory size94.5 KiB
2022-07-26T03:01:21.830479image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum2
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2842052812
Coefficient of variation (CV)-0.143846706
Kurtosis142.1518727
Mean-1.975751055
Median Absolute Deviation (MAD)0
Skewness11.87786524
Sum-23873
Variance0.08077264188
MonotonicityNot monotonic
2022-07-26T03:01:21.865582image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-211994
99.3%
163
 
0.5%
226
 
0.2%
ValueCountFrequency (%)
-211994
99.3%
163
 
0.5%
226
 
0.2%
ValueCountFrequency (%)
226
 
0.2%
163
 
0.5%
-211994
99.3%

PCTATTCL
Real number (ℝ)

SKEWED

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.98990317
Minimum-2
Maximum5
Zeros0
Zeros (%)0.0%
Negative12057
Negative (%)99.8%
Memory size94.5 KiB
2022-07-26T03:01:21.898739image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum5
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2237304278
Coefficient of variation (CV)-0.1124328214
Kurtosis565.675639
Mean-1.98990317
Median Absolute Deviation (MAD)0
Skewness23.29691839
Sum-24044
Variance0.05005530431
MonotonicityNot monotonic
2022-07-26T03:01:21.928427image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-212057
99.8%
212
 
0.1%
48
 
0.1%
13
 
< 0.1%
32
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
-212057
99.8%
13
 
< 0.1%
212
 
0.1%
32
 
< 0.1%
48
 
0.1%
ValueCountFrequency (%)
51
 
< 0.1%
48
0.1%
32
 
< 0.1%
212
0.1%
13
 
< 0.1%

ATTICUSE
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.243068774
Minimum-2
Maximum2
Zeros23
Zeros (%)0.2%
Negative9033
Negative (%)74.8%
Memory size94.5 KiB
2022-07-26T03:01:21.960896image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q31
95-th percentile1
Maximum2
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.304021609
Coefficient of variation (CV)-1.049034161
Kurtosis-0.673416805
Mean-1.243068774
Median Absolute Deviation (MAD)0
Skewness1.146912428
Sum-15020
Variance1.700472356
MonotonicityNot monotonic
2022-07-26T03:01:21.990501image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-29033
74.8%
13008
 
24.9%
023
 
0.2%
219
 
0.2%
ValueCountFrequency (%)
-29033
74.8%
023
 
0.2%
13008
 
24.9%
219
 
0.2%
ValueCountFrequency (%)
219
 
0.2%
13008
 
24.9%
023
 
0.2%
-29033
74.8%

PRKGPLC1
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06306380866
Minimum-2
Maximum1
Zeros4298
Zeros (%)35.6%
Negative2849
Negative (%)23.6%
Memory size94.5 KiB
2022-07-26T03:01:22.022361image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q10
median0
Q31
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.160941678
Coefficient of variation (CV)-18.40900039
Kurtosis-0.8853141502
Mean-0.06306380866
Median Absolute Deviation (MAD)1
Skewness-0.781531771
Sum-762
Variance1.34778558
MonotonicityNot monotonic
2022-07-26T03:01:22.050490image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
14936
40.9%
04298
35.6%
-22849
23.6%
ValueCountFrequency (%)
-22849
23.6%
04298
35.6%
14936
40.9%
ValueCountFrequency (%)
14936
40.9%
04298
35.6%
-22849
23.6%

SIZEOFGARAGE
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4104113217
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative7147
Negative (%)59.1%
Memory size94.5 KiB
2022-07-26T03:01:22.083040image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q32
95-th percentile2
Maximum3
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.946303043
Coefficient of variation (CV)-4.742322982
Kurtosis-1.644294823
Mean-0.4104113217
Median Absolute Deviation (MAD)0
Skewness0.4741701583
Sum-4959
Variance3.788095535
MonotonicityNot monotonic
2022-07-26T03:01:22.114264image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-27147
59.1%
23317
27.5%
11078
 
8.9%
3541
 
4.5%
ValueCountFrequency (%)
-27147
59.1%
11078
 
8.9%
23317
27.5%
3541
 
4.5%
ValueCountFrequency (%)
3541
 
4.5%
23317
27.5%
11078
 
8.9%
-27147
59.1%

GARGLOC
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.387817595
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative7147
Negative (%)59.1%
Memory size94.5 KiB
2022-07-26T03:01:22.145081image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q32
95-th percentile2
Maximum3
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.95209739
Coefficient of variation (CV)-5.033545191
Kurtosis-1.789860556
Mean-0.387817595
Median Absolute Deviation (MAD)0
Skewness0.4077735597
Sum-4686
Variance3.81068422
MonotonicityNot monotonic
2022-07-26T03:01:22.176361image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-27147
59.1%
24354
36.0%
1423
 
3.5%
3159
 
1.3%
ValueCountFrequency (%)
-27147
59.1%
1423
 
3.5%
24354
36.0%
3159
 
1.3%
ValueCountFrequency (%)
3159
 
1.3%
24354
36.0%
1423
 
3.5%
-27147
59.1%

GARGHEAT
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.16113548
Minimum-2
Maximum1
Zeros4672
Zeros (%)38.7%
Negative7147
Negative (%)59.1%
Memory size94.5 KiB
2022-07-26T03:01:22.206748image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q30
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.019641131
Coefficient of variation (CV)-0.8781413963
Kurtosis-1.637819144
Mean-1.16113548
Median Absolute Deviation (MAD)0
Skewness0.4497744423
Sum-14030
Variance1.039668037
MonotonicityNot monotonic
2022-07-26T03:01:22.235337image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-27147
59.1%
04672
38.7%
1264
 
2.2%
ValueCountFrequency (%)
-27147
59.1%
04672
38.7%
1264
 
2.2%
ValueCountFrequency (%)
1264
 
2.2%
04672
38.7%
-27147
59.1%

GARGCOOL
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.171728875
Minimum-2
Maximum1
Zeros4800
Zeros (%)39.7%
Negative7147
Negative (%)59.1%
Memory size94.5 KiB
2022-07-26T03:01:22.346741image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q30
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.002177012
Coefficient of variation (CV)-0.8552977001
Kurtosis-1.733506985
Mean-1.171728875
Median Absolute Deviation (MAD)0
Skewness0.4156412091
Sum-14158
Variance1.004358764
MonotonicityNot monotonic
2022-07-26T03:01:22.375393image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-27147
59.1%
04800
39.7%
1136
 
1.1%
ValueCountFrequency (%)
-27147
59.1%
04800
39.7%
1136
 
1.1%
ValueCountFrequency (%)
1136
 
1.1%
04800
39.7%
-27147
59.1%

PRKGPLC2
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.116941157
Minimum-2
Maximum1
Zeros2224
Zeros (%)18.4%
Negative7785
Negative (%)64.4%
Memory size94.5 KiB
2022-07-26T03:01:22.406724image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q30
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.22531113
Coefficient of variation (CV)-1.097023887
Kurtosis-1.169528123
Mean-1.116941157
Median Absolute Deviation (MAD)0
Skewness0.7836044427
Sum-13496
Variance1.501387365
MonotonicityNot monotonic
2022-07-26T03:01:22.435790image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-27785
64.4%
02224
 
18.4%
12074
 
17.2%
ValueCountFrequency (%)
-27785
64.4%
02224
 
18.4%
12074
 
17.2%
ValueCountFrequency (%)
12074
 
17.2%
02224
 
18.4%
-27785
64.4%

SIZEOFDETACH
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.281718116
Minimum-2
Maximum4
Zeros0
Zeros (%)0.0%
Negative10009
Negative (%)82.8%
Memory size94.5 KiB
2022-07-26T03:01:22.468059image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile2
Maximum4
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.642604217
Coefficient of variation (CV)-1.281564328
Kurtosis2.827759495
Mean-1.281718116
Median Absolute Deviation (MAD)0
Skewness2.063365407
Sum-15487
Variance2.698148612
MonotonicityNot monotonic
2022-07-26T03:01:22.496365image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-210009
82.8%
2824
 
6.8%
1656
 
5.4%
4445
 
3.7%
3149
 
1.2%
ValueCountFrequency (%)
-210009
82.8%
1656
 
5.4%
2824
 
6.8%
3149
 
1.2%
4445
 
3.7%
ValueCountFrequency (%)
4445
 
3.7%
3149
 
1.2%
2824
 
6.8%
1656
 
5.4%
-210009
82.8%

OUTLET
Real number (ℝ)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2273442026
Minimum-9
Maximum1
Zeros5523
Zeros (%)45.7%
Negative1126
Negative (%)9.3%
Memory size94.5 KiB
2022-07-26T03:01:22.527832image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q10
median0
Q31
95-th percentile1
Maximum1
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.078851396
Coefficient of variation (CV)4.745453737
Kurtosis25.65697048
Mean0.2273442026
Median Absolute Deviation (MAD)1
Skewness-3.785927317
Sum2747
Variance1.163920334
MonotonicityNot monotonic
2022-07-26T03:01:22.556792image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
05523
45.7%
15434
45.0%
-21063
 
8.8%
-957
 
0.5%
-86
 
< 0.1%
ValueCountFrequency (%)
-957
 
0.5%
-86
 
< 0.1%
-21063
 
8.8%
05523
45.7%
15434
45.0%
ValueCountFrequency (%)
15434
45.0%
05523
45.7%
-21063
 
8.8%
-86
 
< 0.1%
-957
 
0.5%

STOVEN
Real number (ℝ≥0)

ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9111975503
Minimum0
Maximum3
Zeros1239
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:22.586552image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3297472322
Coefficient of variation (CV)0.3618833612
Kurtosis4.847594378
Mean0.9111975503
Median Absolute Deviation (MAD)0
Skewness-1.622071501
Sum11010
Variance0.1087332372
MonotonicityNot monotonic
2022-07-26T03:01:22.614888image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
110680
88.4%
01239
 
10.3%
2162
 
1.3%
32
 
< 0.1%
ValueCountFrequency (%)
01239
 
10.3%
110680
88.4%
2162
 
1.3%
32
 
< 0.1%
ValueCountFrequency (%)
32
 
< 0.1%
2162
 
1.3%
110680
88.4%
01239
 
10.3%

STOVENFUEL
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.952909046
Minimum-2
Maximum21
Zeros0
Zeros (%)0.0%
Negative1239
Negative (%)10.3%
Memory size94.5 KiB
2022-07-26T03:01:22.645415image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q11
median5
Q35
95-th percentile5
Maximum21
Range23
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.533114656
Coefficient of variation (CV)0.8578370064
Kurtosis1.831101189
Mean2.952909046
Median Absolute Deviation (MAD)0
Skewness-0.2011679997
Sum35680
Variance6.41666986
MonotonicityNot monotonic
2022-07-26T03:01:22.674684image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
56652
55.1%
13752
31.1%
-21239
 
10.3%
2426
 
3.5%
2114
 
0.1%
ValueCountFrequency (%)
-21239
 
10.3%
13752
31.1%
2426
 
3.5%
56652
55.1%
2114
 
0.1%
ValueCountFrequency (%)
2114
 
0.1%
56652
55.1%
2426
 
3.5%
13752
31.1%
-21239
 
10.3%

STOVE
Real number (ℝ≥0)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1233137466
Minimum0
Maximum2
Zeros10607
Zeros (%)87.8%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:22.704746image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3323159813
Coefficient of variation (CV)2.69488188
Kurtosis4.05908091
Mean0.1233137466
Median Absolute Deviation (MAD)0
Skewness2.385942168
Sum1490
Variance0.1104339114
MonotonicityNot monotonic
2022-07-26T03:01:22.734920image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
010607
87.8%
11462
 
12.1%
214
 
0.1%
ValueCountFrequency (%)
010607
87.8%
11462
 
12.1%
214
 
0.1%
ValueCountFrequency (%)
214
 
0.1%
11462
 
12.1%
010607
87.8%

STOVEFUEL
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.35165108
Minimum-2
Maximum5
Zeros0
Zeros (%)0.0%
Negative10607
Negative (%)87.8%
Memory size94.5 KiB
2022-07-26T03:01:22.767688image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile5
Maximum5
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.865153549
Coefficient of variation (CV)-1.379907564
Kurtosis6.463794415
Mean-1.35165108
Median Absolute Deviation (MAD)0
Skewness2.814521811
Sum-16332
Variance3.478797762
MonotonicityNot monotonic
2022-07-26T03:01:22.796468image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-210607
87.8%
5832
 
6.9%
1566
 
4.7%
278
 
0.6%
ValueCountFrequency (%)
-210607
87.8%
1566
 
4.7%
278
 
0.6%
5832
 
6.9%
ValueCountFrequency (%)
5832
 
6.9%
278
 
0.6%
1566
 
4.7%
-210607
87.8%

OVEN
Real number (ℝ≥0)

ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1567491517
Minimum0
Maximum3
Zeros10574
Zeros (%)87.5%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:22.827825image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4431902212
Coefficient of variation (CV)2.827385133
Kurtosis8.047488963
Mean0.1567491517
Median Absolute Deviation (MAD)0
Skewness2.926592447
Sum1894
Variance0.1964175721
MonotonicityNot monotonic
2022-07-26T03:01:22.856003image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
010574
87.5%
11127
 
9.3%
2379
 
3.1%
33
 
< 0.1%
ValueCountFrequency (%)
010574
87.5%
11127
 
9.3%
2379
 
3.1%
33
 
< 0.1%
ValueCountFrequency (%)
33
 
< 0.1%
2379
 
3.1%
11127
 
9.3%
010574
87.5%

OVENFUEL
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.213605893
Minimum-2
Maximum5
Zeros0
Zeros (%)0.0%
Negative10574
Negative (%)87.5%
Memory size94.5 KiB
2022-07-26T03:01:22.886735image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile5
Maximum5
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.148857081
Coefficient of variation (CV)-1.770638306
Kurtosis4.21469171
Mean-1.213605893
Median Absolute Deviation (MAD)0
Skewness2.463685982
Sum-14664
Variance4.617586756
MonotonicityNot monotonic
2022-07-26T03:01:22.915098image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-210574
87.5%
51238
 
10.2%
1248
 
2.1%
223
 
0.2%
ValueCountFrequency (%)
-210574
87.5%
1248
 
2.1%
223
 
0.2%
51238
 
10.2%
ValueCountFrequency (%)
51238
 
10.2%
223
 
0.2%
1248
 
2.1%
-210574
87.5%

OVENUSE
Real number (ℝ)

ZEROS

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.749565505
Minimum-2
Maximum6
Zeros702
Zeros (%)5.8%
Negative89
Negative (%)0.7%
Memory size94.5 KiB
2022-07-26T03:01:22.947717image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile0
Q13
median4
Q35
95-th percentile6
Maximum6
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.644194545
Coefficient of variation (CV)0.4385026858
Kurtosis0.652758873
Mean3.749565505
Median Absolute Deviation (MAD)1
Skewness-0.7826372963
Sum45306
Variance2.703375701
MonotonicityNot monotonic
2022-07-26T03:01:22.980262image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
44256
35.2%
32136
17.7%
61999
16.5%
51544
 
12.8%
2981
 
8.1%
0702
 
5.8%
1376
 
3.1%
-289
 
0.7%
ValueCountFrequency (%)
-289
 
0.7%
0702
 
5.8%
1376
 
3.1%
2981
8.1%
32136
17.7%
ValueCountFrequency (%)
61999
16.5%
51544
 
12.8%
44256
35.2%
32136
17.7%
2981
 
8.1%

OVENCLN
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6128444923
Minimum-2
Maximum1
Zeros4411
Zeros (%)36.5%
Negative89
Negative (%)0.7%
Memory size94.5 KiB
2022-07-26T03:01:23.013757image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5305504114
Coefficient of variation (CV)0.8657178421
Kurtosis2.162854804
Mean0.6128444923
Median Absolute Deviation (MAD)0
Skewness-1.198863595
Sum7405
Variance0.281483739
MonotonicityNot monotonic
2022-07-26T03:01:23.042039image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
17583
62.8%
04411
36.5%
-289
 
0.7%
ValueCountFrequency (%)
-289
 
0.7%
04411
36.5%
17583
62.8%
ValueCountFrequency (%)
17583
62.8%
04411
36.5%
-289
 
0.7%

TYPECLN
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4501365555
Minimum-2
Maximum2
Zeros0
Zeros (%)0.0%
Negative4500
Negative (%)37.2%
Memory size94.5 KiB
2022-07-26T03:01:23.073759image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median2
Q32
95-th percentile2
Maximum2
Range4
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.901887197
Coefficient of variation (CV)4.225133849
Kurtosis-1.72356655
Mean0.4501365555
Median Absolute Deviation (MAD)0
Skewness-0.4878669125
Sum5439
Variance3.617174911
MonotonicityNot monotonic
2022-07-26T03:01:23.104477image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
26856
56.7%
-24500
37.2%
1727
 
6.0%
ValueCountFrequency (%)
-24500
37.2%
1727
 
6.0%
26856
56.7%
ValueCountFrequency (%)
26856
56.7%
1727
 
6.0%
-24500
37.2%

MICRO
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9613506579
Minimum0
Maximum1
Zeros467
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:23.138001image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1927657794
Coefficient of variation (CV)0.2005155744
Kurtosis20.9230184
Mean0.9613506579
Median Absolute Deviation (MAD)0
Skewness-4.787437228
Sum11616
Variance0.03715864569
MonotonicityNot monotonic
2022-07-26T03:01:23.168110image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
111616
96.1%
0467
 
3.9%
ValueCountFrequency (%)
0467
 
3.9%
111616
96.1%
ValueCountFrequency (%)
111616
96.1%
0467
 
3.9%

AMTMICRO
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.189025904
Minimum-2
Maximum4
Zeros0
Zeros (%)0.0%
Negative467
Negative (%)3.9%
Memory size94.5 KiB
2022-07-26T03:01:23.198309image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.267168632
Coefficient of variation (CV)0.5788732921
Kurtosis2.320991485
Mean2.189025904
Median Absolute Deviation (MAD)1
Skewness-1.166958483
Sum26450
Variance1.605716341
MonotonicityNot monotonic
2022-07-26T03:01:23.227436image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
34188
34.7%
23324
27.5%
12748
22.7%
41356
 
11.2%
-2467
 
3.9%
ValueCountFrequency (%)
-2467
 
3.9%
12748
22.7%
23324
27.5%
34188
34.7%
41356
 
11.2%
ValueCountFrequency (%)
41356
 
11.2%
34188
34.7%
23324
27.5%
12748
22.7%
-2467
 
3.9%

DEFROST
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3449474468
Minimum-2
Maximum1
Zeros6514
Zeros (%)53.9%
Negative467
Negative (%)3.9%
Memory size94.5 KiB
2022-07-26T03:01:23.334498image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6766776586
Coefficient of variation (CV)1.961683337
Kurtosis2.983675007
Mean0.3449474468
Median Absolute Deviation (MAD)0
Skewness-1.29709949
Sum4168
Variance0.4578926537
MonotonicityNot monotonic
2022-07-26T03:01:23.362526image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
06514
53.9%
15102
42.2%
-2467
 
3.9%
ValueCountFrequency (%)
-2467
 
3.9%
06514
53.9%
15102
42.2%
ValueCountFrequency (%)
15102
42.2%
06514
53.9%
-2467
 
3.9%

OUTGRILL
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6106099479
Minimum0
Maximum1
Zeros4705
Zeros (%)38.9%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:23.397686image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4876321552
Coefficient of variation (CV)0.7985984455
Kurtosis-1.794420211
Mean0.6106099479
Median Absolute Deviation (MAD)0
Skewness-0.4537365228
Sum7378
Variance0.2377851187
MonotonicityNot monotonic
2022-07-26T03:01:23.428279image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
17378
61.1%
04705
38.9%
ValueCountFrequency (%)
04705
38.9%
17378
61.1%
ValueCountFrequency (%)
17378
61.1%
04705
38.9%

OUTGRILLFUEL
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.09980965
Minimum-2
Maximum21
Zeros0
Zeros (%)0.0%
Negative4705
Negative (%)38.9%
Memory size94.5 KiB
2022-07-26T03:01:23.458006image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median2
Q32
95-th percentile21
Maximum21
Range23
Interquartile range (IQR)4

Descriptive statistics

Standard deviation8.493410737
Coefficient of variation (CV)2.071659775
Kurtosis0.1582133832
Mean4.09980965
Median Absolute Deviation (MAD)4
Skewness1.381967098
Sum49538
Variance72.13802595
MonotonicityNot monotonic
2022-07-26T03:01:23.486059image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-24705
38.9%
24530
37.5%
212352
19.5%
1496
 
4.1%
ValueCountFrequency (%)
-24705
38.9%
1496
 
4.1%
24530
37.5%
212352
19.5%
ValueCountFrequency (%)
212352
19.5%
24530
37.5%
1496
 
4.1%
-24705
38.9%

TOPGRILL
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01357278821
Minimum0
Maximum1
Zeros11919
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:23.515412image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1157137666
Coefficient of variation (CV)8.525423424
Kurtosis68.71951849
Mean0.01357278821
Median Absolute Deviation (MAD)0
Skewness8.408813468
Sum164
Variance0.01338967578
MonotonicityNot monotonic
2022-07-26T03:01:23.545075image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
011919
98.6%
1164
 
1.4%
ValueCountFrequency (%)
011919
98.6%
1164
 
1.4%
ValueCountFrequency (%)
1164
 
1.4%
011919
98.6%

STGRILA
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.917156335
Minimum-2
Maximum21
Zeros0
Zeros (%)0.0%
Negative11919
Negative (%)98.6%
Memory size94.5 KiB
2022-07-26T03:01:23.574655image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum21
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8159594925
Coefficient of variation (CV)-0.4256092617
Kurtosis298.1879173
Mean-1.917156335
Median Absolute Deviation (MAD)0
Skewness14.45884663
Sum-23165
Variance0.6657898934
MonotonicityNot monotonic
2022-07-26T03:01:23.603568image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-211919
98.6%
599
 
0.8%
147
 
0.4%
213
 
0.1%
215
 
< 0.1%
ValueCountFrequency (%)
-211919
98.6%
147
 
0.4%
213
 
0.1%
599
 
0.8%
215
 
< 0.1%
ValueCountFrequency (%)
215
 
< 0.1%
599
 
0.8%
213
 
0.1%
147
 
0.4%
-211919
98.6%

TOASTER
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3699412398
Minimum0
Maximum1
Zeros7613
Zeros (%)63.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:23.634165image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4828084618
Coefficient of variation (CV)1.305094999
Kurtosis-1.709925424
Mean0.3699412398
Median Absolute Deviation (MAD)0
Skewness0.5388484323
Sum4470
Variance0.2331040108
MonotonicityNot monotonic
2022-07-26T03:01:23.664667image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
07613
63.0%
14470
37.0%
ValueCountFrequency (%)
07613
63.0%
14470
37.0%
ValueCountFrequency (%)
14470
37.0%
07613
63.0%

NUMMEAL
Real number (ℝ≥0)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.979558057
Minimum0
Maximum6
Zeros111
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:23.701377image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.158729663
Coefficient of variation (CV)0.3888931314
Kurtosis0.3710084739
Mean2.979558057
Median Absolute Deviation (MAD)1
Skewness0.2964777912
Sum36002
Variance1.342654431
MonotonicityNot monotonic
2022-07-26T03:01:23.755610image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
34456
36.9%
22931
24.3%
42761
22.9%
1960
 
7.9%
6448
 
3.7%
5416
 
3.4%
0111
 
0.9%
ValueCountFrequency (%)
0111
 
0.9%
1960
 
7.9%
22931
24.3%
34456
36.9%
42761
22.9%
ValueCountFrequency (%)
6448
 
3.7%
5416
 
3.4%
42761
22.9%
34456
36.9%
22931
24.3%

FUELFOOD
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.456426384
Minimum-2
Maximum21
Zeros0
Zeros (%)0.0%
Negative143
Negative (%)1.2%
Memory size94.5 KiB
2022-07-26T03:01:23.789960image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile1
Q11
median5
Q35
95-th percentile5
Maximum21
Range23
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.065710158
Coefficient of variation (CV)0.5976433254
Kurtosis4.055739457
Mean3.456426384
Median Absolute Deviation (MAD)0
Skewness0.1089745038
Sum41764
Variance4.267158458
MonotonicityNot monotonic
2022-07-26T03:01:23.819561image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
57344
60.8%
14109
34.0%
2474
 
3.9%
-2143
 
1.2%
2113
 
0.1%
ValueCountFrequency (%)
-2143
 
1.2%
14109
34.0%
2474
 
3.9%
57344
60.8%
2113
 
0.1%
ValueCountFrequency (%)
2113
 
0.1%
57344
60.8%
2474
 
3.9%
14109
34.0%
-2143
 
1.2%

COFFEE
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6347761318
Minimum0
Maximum1
Zeros4413
Zeros (%)36.5%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:23.849911image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4815128065
Coefficient of variation (CV)0.7585553117
Kurtosis-1.686796179
Mean0.6347761318
Median Absolute Deviation (MAD)0
Skewness-0.5598955709
Sum7670
Variance0.2318545828
MonotonicityNot monotonic
2022-07-26T03:01:23.880865image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
17670
63.5%
04413
36.5%
ValueCountFrequency (%)
04413
36.5%
17670
63.5%
ValueCountFrequency (%)
17670
63.5%
04413
36.5%

NUMFRIG
Real number (ℝ≥0)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.265496979
Minimum0
Maximum7
Zeros19
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:23.912669image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5153082571
Coefficient of variation (CV)0.4071983304
Kurtosis6.558198971
Mean1.265496979
Median Absolute Deviation (MAD)0
Skewness2.098329556
Sum15291
Variance0.2655425998
MonotonicityNot monotonic
2022-07-26T03:01:23.942430image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
19167
75.9%
22626
 
21.7%
3226
 
1.9%
434
 
0.3%
019
 
0.2%
59
 
0.1%
61
 
< 0.1%
71
 
< 0.1%
ValueCountFrequency (%)
019
 
0.2%
19167
75.9%
22626
 
21.7%
3226
 
1.9%
434
 
0.3%
ValueCountFrequency (%)
71
 
< 0.1%
61
 
< 0.1%
59
 
0.1%
434
 
0.3%
3226
1.9%

TYPERFR1
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.82438136
Minimum-2
Maximum23
Zeros0
Zeros (%)0.0%
Negative19
Negative (%)0.2%
Memory size94.5 KiB
2022-07-26T03:01:23.974219image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile1
Q121
median22
Q322
95-th percentile23
Maximum23
Range25
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.886158162
Coefficient of variation (CV)0.2969150994
Kurtosis5.8882043
Mean19.82438136
Median Absolute Deviation (MAD)1
Skewness-2.778765506
Sum239538
Variance34.64685791
MonotonicityNot monotonic
2022-07-26T03:01:24.004609image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
225877
48.6%
214216
34.9%
1877
 
7.3%
23867
 
7.2%
5102
 
0.8%
382
 
0.7%
443
 
0.4%
-219
 
0.2%
ValueCountFrequency (%)
-219
 
0.2%
1877
7.3%
382
 
0.7%
443
 
0.4%
5102
 
0.8%
ValueCountFrequency (%)
23867
 
7.2%
225877
48.6%
214216
34.9%
5102
 
0.8%
443
 
0.4%

SIZRFRI1
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.531242241
Minimum-2
Maximum5
Zeros0
Zeros (%)0.0%
Negative19
Negative (%)0.2%
Memory size94.5 KiB
2022-07-26T03:01:24.034817image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile3
Q13
median4
Q34
95-th percentile5
Maximum5
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7516992863
Coefficient of variation (CV)0.2128710621
Kurtosis4.417150933
Mean3.531242241
Median Absolute Deviation (MAD)1
Skewness-0.643711153
Sum42668
Variance0.5650518171
MonotonicityNot monotonic
2022-07-26T03:01:24.064928image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
35419
44.8%
45185
42.9%
5957
 
7.9%
2421
 
3.5%
182
 
0.7%
-219
 
0.2%
ValueCountFrequency (%)
-219
 
0.2%
182
 
0.7%
2421
 
3.5%
35419
44.8%
45185
42.9%
ValueCountFrequency (%)
5957
 
7.9%
45185
42.9%
35419
44.8%
2421
 
3.5%
182
 
0.7%

REFRIGT1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.925432426
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative19
Negative (%)0.2%
Memory size94.5 KiB
2022-07-26T03:01:24.096351image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum3
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3019846365
Coefficient of variation (CV)0.1568399039
Kurtosis48.35961057
Mean1.925432426
Median Absolute Deviation (MAD)0
Skewness-5.379141131
Sum23265
Variance0.09119472071
MonotonicityNot monotonic
2022-07-26T03:01:24.126825image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
211199
92.7%
1845
 
7.0%
320
 
0.2%
-219
 
0.2%
ValueCountFrequency (%)
-219
 
0.2%
1845
 
7.0%
211199
92.7%
320
 
0.2%
ValueCountFrequency (%)
320
 
0.2%
211199
92.7%
1845
 
7.0%
-219
 
0.2%

ICE
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3421335761
Minimum-2
Maximum1
Zeros7892
Zeros (%)65.3%
Negative19
Negative (%)0.2%
Memory size94.5 KiB
2022-07-26T03:01:24.156336image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4842853966
Coefficient of variation (CV)1.41548632
Kurtosis-0.8007795792
Mean0.3421335761
Median Absolute Deviation (MAD)0
Skewness0.4574629195
Sum4134
Variance0.2345323453
MonotonicityNot monotonic
2022-07-26T03:01:24.184503image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
07892
65.3%
14172
34.5%
-219
 
0.2%
ValueCountFrequency (%)
-219
 
0.2%
07892
65.3%
14172
34.5%
ValueCountFrequency (%)
14172
34.5%
07892
65.3%
-219
 
0.2%

AGERFRI1
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.76313829
Minimum-2
Maximum42
Zeros0
Zeros (%)0.0%
Negative19
Negative (%)0.2%
Memory size94.5 KiB
2022-07-26T03:01:24.216904image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile1
Q12
median3
Q35
95-th percentile42
Maximum42
Range44
Interquartile range (IQR)3

Descriptive statistics

Standard deviation16.58558962
Coefficient of variation (CV)1.409962988
Kurtosis-0.5195336652
Mean11.76313829
Median Absolute Deviation (MAD)1
Skewness1.210409229
Sum142134
Variance275.081783
MonotonicityNot monotonic
2022-07-26T03:01:24.245010image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
34212
34.9%
22886
23.9%
412163
17.9%
11523
 
12.6%
42734
 
6.1%
5546
 
4.5%
-219
 
0.2%
ValueCountFrequency (%)
-219
 
0.2%
11523
 
12.6%
22886
23.9%
34212
34.9%
5546
 
4.5%
ValueCountFrequency (%)
42734
 
6.1%
412163
17.9%
5546
 
4.5%
34212
34.9%
22886
23.9%

ESFRIG
Real number (ℝ)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9294049491
Minimum-9
Maximum1
Zeros2981
Zeros (%)24.7%
Negative4457
Negative (%)36.9%
Memory size94.5 KiB
2022-07-26T03:01:24.355727image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-9
Q1-2
median0
Q31
95-th percentile1
Maximum1
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.707729291
Coefficient of variation (CV)-2.913400982
Kurtosis3.600917655
Mean-0.9294049491
Median Absolute Deviation (MAD)1
Skewness-2.046755291
Sum-11230
Variance7.331797916
MonotonicityNot monotonic
2022-07-26T03:01:24.393493image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
14645
38.4%
-23462
28.7%
02981
24.7%
-9991
 
8.2%
-84
 
< 0.1%
ValueCountFrequency (%)
-9991
 
8.2%
-84
 
< 0.1%
-23462
28.7%
02981
24.7%
14645
38.4%
ValueCountFrequency (%)
14645
38.4%
02981
24.7%
-23462
28.7%
-84
 
< 0.1%
-9991
 
8.2%

REPLCFRI
Real number (ℝ)

ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.189687991
Minimum-9
Maximum1
Zeros703
Zeros (%)5.8%
Negative8305
Negative (%)68.7%
Memory size94.5 KiB
2022-07-26T03:01:24.425128image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q31
95-th percentile1
Maximum1
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.534064862
Coefficient of variation (CV)-1.289468225
Kurtosis4.806698279
Mean-1.189687991
Median Absolute Deviation (MAD)0
Skewness-0.6433942649
Sum-14375
Variance2.353355001
MonotonicityNot monotonic
2022-07-26T03:01:24.454782image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-28185
67.7%
13075
 
25.4%
0703
 
5.8%
-9120
 
1.0%
ValueCountFrequency (%)
-9120
 
1.0%
-28185
67.7%
0703
 
5.8%
13075
 
25.4%
ValueCountFrequency (%)
13075
 
25.4%
0703
 
5.8%
-28185
67.7%
-9120
 
1.0%

HELPFRI
Real number (ℝ)

ZEROS

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.474054457
Minimum-9
Maximum5
Zeros2720
Zeros (%)22.5%
Negative9048
Negative (%)74.9%
Memory size94.5 KiB
2022-07-26T03:01:24.485289image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q30
95-th percentile0
Maximum5
Range14
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.089316073
Coefficient of variation (CV)-0.7389931006
Kurtosis9.130420679
Mean-1.474054457
Median Absolute Deviation (MAD)0
Skewness0.3546858693
Sum-17811
Variance1.186609508
MonotonicityNot monotonic
2022-07-26T03:01:24.514939image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-29008
74.6%
02720
 
22.5%
1162
 
1.3%
293
 
0.8%
342
 
0.3%
-938
 
0.3%
517
 
0.1%
-82
 
< 0.1%
41
 
< 0.1%
ValueCountFrequency (%)
-938
 
0.3%
-82
 
< 0.1%
-29008
74.6%
02720
 
22.5%
1162
 
1.3%
ValueCountFrequency (%)
517
 
0.1%
41
 
< 0.1%
342
 
0.3%
293
0.8%
1162
1.3%

HELPFRIY
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.878920798
Minimum-9
Maximum6
Zeros0
Zeros (%)0.0%
Negative11760
Negative (%)97.3%
Memory size94.5 KiB
2022-07-26T03:01:24.546949image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum6
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9402731787
Coefficient of variation (CV)-0.500432578
Kurtosis37.12461635
Mean-1.878920798
Median Absolute Deviation (MAD)0
Skewness3.916818901
Sum-22703
Variance0.8841136507
MonotonicityNot monotonic
2022-07-26T03:01:24.577258image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-211728
97.1%
4106
 
0.9%
373
 
0.6%
255
 
0.5%
543
 
0.4%
141
 
0.3%
-930
 
0.2%
65
 
< 0.1%
-82
 
< 0.1%
ValueCountFrequency (%)
-930
 
0.2%
-82
 
< 0.1%
-211728
97.1%
141
 
0.3%
255
 
0.5%
ValueCountFrequency (%)
65
 
< 0.1%
543
0.4%
4106
0.9%
373
0.6%
255
0.5%

TYPERFR2
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.178018704
Minimum-2
Maximum23
Zeros0
Zeros (%)0.0%
Negative9186
Negative (%)76.0%
Memory size94.5 KiB
2022-07-26T03:01:24.610106image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile22
Maximum23
Range25
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.690450313
Coefficient of variation (CV)3.99007148
Kurtosis1.254838352
Mean2.178018704
Median Absolute Deviation (MAD)0
Skewness1.777492332
Sum26317
Variance75.52392665
MonotonicityNot monotonic
2022-07-26T03:01:24.640604image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
-29186
76.0%
221421
 
11.8%
3565
 
4.7%
21450
 
3.7%
1342
 
2.8%
2377
 
0.6%
441
 
0.3%
51
 
< 0.1%
ValueCountFrequency (%)
-29186
76.0%
1342
 
2.8%
3565
 
4.7%
441
 
0.3%
51
 
< 0.1%
ValueCountFrequency (%)
2377
 
0.6%
221421
11.8%
21450
 
3.7%
51
 
< 0.1%
441
 
0.3%

SIZRFRI2
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8463957626
Minimum-2
Maximum5
Zeros0
Zeros (%)0.0%
Negative9186
Negative (%)76.0%
Memory size94.5 KiB
2022-07-26T03:01:24.670828image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile4
Maximum5
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.125294619
Coefficient of variation (CV)-2.510993926
Kurtosis0.2974028643
Mean-0.8463957626
Median Absolute Deviation (MAD)0
Skewness1.428631883
Sum-10227
Variance4.516877217
MonotonicityNot monotonic
2022-07-26T03:01:24.700285image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-29186
76.0%
31174
 
9.7%
4738
 
6.1%
1566
 
4.7%
2330
 
2.7%
589
 
0.7%
ValueCountFrequency (%)
-29186
76.0%
1566
 
4.7%
2330
 
2.7%
31174
 
9.7%
4738
 
6.1%
ValueCountFrequency (%)
589
 
0.7%
4738
6.1%
31174
9.7%
2330
 
2.7%
1566
4.7%

REFRIGT2
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.097326823
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative9186
Negative (%)76.0%
Memory size94.5 KiB
2022-07-26T03:01:24.731270image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile2
Maximum3
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.623917608
Coefficient of variation (CV)-1.479885094
Kurtosis-0.2576437966
Mean-1.097326823
Median Absolute Deviation (MAD)0
Skewness1.285590015
Sum-13259
Variance2.637108397
MonotonicityNot monotonic
2022-07-26T03:01:24.761285image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-29186
76.0%
22094
 
17.3%
1742
 
6.1%
361
 
0.5%
ValueCountFrequency (%)
-29186
76.0%
1742
 
6.1%
22094
 
17.3%
361
 
0.5%
ValueCountFrequency (%)
361
 
0.5%
22094
 
17.3%
1742
 
6.1%
-29186
76.0%

MONRFRI2
Real number (ℝ)

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.108747828
Minimum-2
Maximum12
Zeros38
Zeros (%)0.3%
Negative9186
Negative (%)76.0%
Memory size94.5 KiB
2022-07-26T03:01:24.792440image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile12
Maximum12
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.700108362
Coefficient of variation (CV)5.141032271
Kurtosis-0.1572323748
Mean1.108747828
Median Absolute Deviation (MAD)0
Skewness1.338157329
Sum13397
Variance32.49123534
MonotonicityNot monotonic
2022-07-26T03:01:24.823595image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-29186
76.0%
122481
 
20.5%
6104
 
0.9%
242
 
0.3%
038
 
0.3%
137
 
0.3%
336
 
0.3%
434
 
0.3%
827
 
0.2%
526
 
0.2%
Other values (4)72
 
0.6%
ValueCountFrequency (%)
-29186
76.0%
038
 
0.3%
137
 
0.3%
242
 
0.3%
336
 
0.3%
ValueCountFrequency (%)
122481
20.5%
1111
 
0.1%
1022
 
0.2%
924
 
0.2%
827
 
0.2%

AGERFRI2
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.389638335
Minimum-2
Maximum42
Zeros0
Zeros (%)0.0%
Negative9186
Negative (%)76.0%
Memory size94.5 KiB
2022-07-26T03:01:24.857519image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile41
Maximum42
Range44
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.90033233
Coefficient of variation (CV)4.979972138
Kurtosis6.623295049
Mean2.389638335
Median Absolute Deviation (MAD)0
Skewness2.893540487
Sum28874
Variance141.6179095
MonotonicityNot monotonic
2022-07-26T03:01:24.886421image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-29186
76.0%
3783
 
6.5%
41633
 
5.2%
2485
 
4.0%
5411
 
3.4%
42374
 
3.1%
1211
 
1.7%
ValueCountFrequency (%)
-29186
76.0%
1211
 
1.7%
2485
 
4.0%
3783
 
6.5%
5411
 
3.4%
ValueCountFrequency (%)
42374
3.1%
41633
5.2%
5411
3.4%
3783
6.5%
2485
4.0%

ESFRIG2
Real number (ℝ)

ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.830505669
Minimum-9
Maximum1
Zeros589
Zeros (%)4.9%
Negative10784
Negative (%)89.2%
Memory size94.5 KiB
2022-07-26T03:01:24.916756image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile1
Maximum1
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.19380386
Coefficient of variation (CV)-0.6521716265
Kurtosis18.51700549
Mean-1.830505669
Median Absolute Deviation (MAD)0
Skewness-2.270877508
Sum-22118
Variance1.425167655
MonotonicityNot monotonic
2022-07-26T03:01:24.945865image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-210604
87.8%
1710
 
5.9%
0589
 
4.9%
-9180
 
1.5%
ValueCountFrequency (%)
-9180
 
1.5%
-210604
87.8%
0589
 
4.9%
1710
 
5.9%
ValueCountFrequency (%)
1710
 
5.9%
0589
 
4.9%
-210604
87.8%
-9180
 
1.5%

TYPERFR3
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.755193247
Minimum-2
Maximum23
Zeros0
Zeros (%)0.0%
Negative11812
Negative (%)97.8%
Memory size94.5 KiB
2022-07-26T03:01:24.974977image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum23
Range25
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.097993729
Coefficient of variation (CV)-1.195306405
Kurtosis113.2873805
Mean-1.755193247
Median Absolute Deviation (MAD)0
Skewness10.45057573
Sum-21208
Variance4.401577688
MonotonicityNot monotonic
2022-07-26T03:01:25.005580image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
-211812
97.8%
3139
 
1.2%
2271
 
0.6%
128
 
0.2%
416
 
0.1%
2114
 
0.1%
232
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
-211812
97.8%
128
 
0.2%
3139
 
1.2%
416
 
0.1%
51
 
< 0.1%
ValueCountFrequency (%)
232
 
< 0.1%
2271
0.6%
2114
 
0.1%
51
 
< 0.1%
416
 
0.1%

SIZRFRI3
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.910700985
Minimum-2
Maximum5
Zeros0
Zeros (%)0.0%
Negative11812
Negative (%)97.8%
Memory size94.5 KiB
2022-07-26T03:01:25.042083image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum5
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.615062706
Coefficient of variation (CV)-0.3219042178
Kurtosis56.30407795
Mean-1.910700985
Median Absolute Deviation (MAD)0
Skewness7.346009057
Sum-23087
Variance0.3783021323
MonotonicityNot monotonic
2022-07-26T03:01:25.072422image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-211812
97.8%
1139
 
1.2%
354
 
0.4%
241
 
0.3%
431
 
0.3%
56
 
< 0.1%
ValueCountFrequency (%)
-211812
97.8%
1139
 
1.2%
241
 
0.3%
354
 
0.4%
431
 
0.3%
ValueCountFrequency (%)
56
 
< 0.1%
431
 
0.3%
354
 
0.4%
241
 
0.3%
1139
1.2%

REFRIGT3
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.917818423
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative11812
Negative (%)97.8%
Memory size94.5 KiB
2022-07-26T03:01:25.103837image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum3
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5503451607
Coefficient of variation (CV)-0.2869641642
Kurtosis44.76452294
Mean-1.917818423
Median Absolute Deviation (MAD)0
Skewness6.740223693
Sum-23173
Variance0.3028797959
MonotonicityNot monotonic
2022-07-26T03:01:25.135000image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-211812
97.8%
2138
 
1.1%
1112
 
0.9%
321
 
0.2%
ValueCountFrequency (%)
-211812
97.8%
1112
 
0.9%
2138
 
1.1%
321
 
0.2%
ValueCountFrequency (%)
321
 
0.2%
2138
 
1.1%
1112
 
0.9%
-211812
97.8%

MONRFRI3
Real number (ℝ)

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.717785318
Minimum-2
Maximum12
Zeros5
Zeros (%)< 0.1%
Negative11812
Negative (%)97.8%
Memory size94.5 KiB
2022-07-26T03:01:25.167133image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum12
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.924318103
Coefficient of variation (CV)-1.120232012
Kurtosis45.22365772
Mean-1.717785318
Median Absolute Deviation (MAD)0
Skewness6.834900678
Sum-20756
Variance3.70300016
MonotonicityNot monotonic
2022-07-26T03:01:25.198895image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
-211812
97.8%
12221
 
1.8%
614
 
0.1%
26
 
< 0.1%
16
 
< 0.1%
05
 
< 0.1%
55
 
< 0.1%
33
 
< 0.1%
43
 
< 0.1%
102
 
< 0.1%
Other values (3)6
 
< 0.1%
ValueCountFrequency (%)
-211812
97.8%
05
 
< 0.1%
16
 
< 0.1%
26
 
< 0.1%
33
 
< 0.1%
ValueCountFrequency (%)
12221
1.8%
102
 
< 0.1%
92
 
< 0.1%
82
 
< 0.1%
72
 
< 0.1%

AGERFRI3
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.652818009
Minimum-2
Maximum42
Zeros0
Zeros (%)0.0%
Negative11812
Negative (%)97.8%
Memory size94.5 KiB
2022-07-26T03:01:25.233740image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum42
Range44
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.468716716
Coefficient of variation (CV)-2.098668273
Kurtosis144.8004252
Mean-1.652818009
Median Absolute Deviation (MAD)0
Skewness11.96691726
Sum-19971
Variance12.03199566
MonotonicityNot monotonic
2022-07-26T03:01:25.341029image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-211812
97.8%
375
 
0.6%
263
 
0.5%
4155
 
0.5%
130
 
0.2%
527
 
0.2%
4221
 
0.2%
ValueCountFrequency (%)
-211812
97.8%
130
 
0.2%
263
 
0.5%
375
 
0.6%
527
 
0.2%
ValueCountFrequency (%)
4221
 
0.2%
4155
0.5%
527
 
0.2%
375
0.6%
263
0.5%

ESFRIG3
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.978730448
Minimum-9
Maximum1
Zeros67
Zeros (%)0.6%
Negative11933
Negative (%)98.8%
Memory size94.5 KiB
2022-07-26T03:01:25.370574image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum1
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3956741051
Coefficient of variation (CV)-0.1999636209
Kurtosis170.3414287
Mean-1.978730448
Median Absolute Deviation (MAD)0
Skewness-4.701028241
Sum-23909
Variance0.1565579974
MonotonicityNot monotonic
2022-07-26T03:01:25.399350image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-211915
98.6%
183
 
0.7%
067
 
0.6%
-918
 
0.1%
ValueCountFrequency (%)
-918
 
0.1%
-211915
98.6%
067
 
0.6%
183
 
0.7%
ValueCountFrequency (%)
183
 
0.7%
067
 
0.6%
-211915
98.6%
-918
 
0.1%

SEPFREEZ
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2968633617
Minimum0
Maximum1
Zeros8496
Zeros (%)70.3%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:25.428990image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4568947174
Coefficient of variation (CV)1.53907412
Kurtosis-1.209252021
Mean0.2968633617
Median Absolute Deviation (MAD)0
Skewness0.8893526654
Sum3587
Variance0.2087527828
MonotonicityNot monotonic
2022-07-26T03:01:25.459624image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
08496
70.3%
13587
29.7%
ValueCountFrequency (%)
08496
70.3%
13587
29.7%
ValueCountFrequency (%)
13587
29.7%
08496
70.3%

NUMFREEZ
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.0842506
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative8496
Negative (%)70.3%
Memory size94.5 KiB
2022-07-26T03:01:25.489699image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q31
95-th percentile1
Maximum3
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.419594499
Coefficient of variation (CV)-1.30928634
Kurtosis-0.9718661383
Mean-1.0842506
Median Absolute Deviation (MAD)0
Skewness0.9481577582
Sum-13101
Variance2.015248542
MonotonicityNot monotonic
2022-07-26T03:01:25.521467image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-28496
70.3%
13318
 
27.5%
2234
 
1.9%
335
 
0.3%
ValueCountFrequency (%)
-28496
70.3%
13318
 
27.5%
2234
 
1.9%
335
 
0.3%
ValueCountFrequency (%)
335
 
0.3%
2234
 
1.9%
13318
 
27.5%
-28496
70.3%

UPRTFRZR
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9559711992
Minimum-2
Maximum2
Zeros0
Zeros (%)0.0%
Negative8496
Negative (%)70.3%
Memory size94.5 KiB
2022-07-26T03:01:25.553522image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q31
95-th percentile2
Maximum2
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.629743828
Coefficient of variation (CV)-1.704804318
Kurtosis-0.9229757269
Mean-0.9559711992
Median Absolute Deviation (MAD)0
Skewness0.978877288
Sum-11551
Variance2.656064946
MonotonicityNot monotonic
2022-07-26T03:01:25.584971image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-28496
70.3%
21854
 
15.3%
11733
 
14.3%
ValueCountFrequency (%)
-28496
70.3%
11733
 
14.3%
21854
 
15.3%
ValueCountFrequency (%)
21854
 
15.3%
11733
 
14.3%
-28496
70.3%

SIZFREEZ
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8144500538
Minimum-2
Maximum4
Zeros0
Zeros (%)0.0%
Negative8496
Negative (%)70.3%
Memory size94.5 KiB
2022-07-26T03:01:25.619083image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q31
95-th percentile3
Maximum4
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.883680799
Coefficient of variation (CV)-2.312825434
Kurtosis-0.4983493123
Mean-0.8144500538
Median Absolute Deviation (MAD)0
Skewness1.096373639
Sum-9841
Variance3.548253354
MonotonicityNot monotonic
2022-07-26T03:01:25.648881image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-28496
70.3%
21416
 
11.7%
11176
 
9.7%
3837
 
6.9%
4158
 
1.3%
ValueCountFrequency (%)
-28496
70.3%
11176
 
9.7%
21416
 
11.7%
3837
 
6.9%
4158
 
1.3%
ValueCountFrequency (%)
4158
 
1.3%
3837
 
6.9%
21416
 
11.7%
11176
 
9.7%
-28496
70.3%

FREEZER
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9796408177
Minimum-2
Maximum2
Zeros0
Zeros (%)0.0%
Negative8496
Negative (%)70.3%
Memory size94.5 KiB
2022-07-26T03:01:25.681266image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q31
95-th percentile2
Maximum2
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.59349654
Coefficient of variation (CV)-1.626613052
Kurtosis-0.896864775
Mean-0.9796408177
Median Absolute Deviation (MAD)0
Skewness0.9844375251
Sum-11837
Variance2.539231223
MonotonicityNot monotonic
2022-07-26T03:01:25.712629image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-28496
70.3%
12019
 
16.7%
21568
 
13.0%
ValueCountFrequency (%)
-28496
70.3%
12019
 
16.7%
21568
 
13.0%
ValueCountFrequency (%)
21568
 
13.0%
12019
 
16.7%
-28496
70.3%

AGEFRZR
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.032111231
Minimum-2
Maximum42
Zeros0
Zeros (%)0.0%
Negative8496
Negative (%)70.3%
Memory size94.5 KiB
2022-07-26T03:01:25.747532image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q32
95-th percentile41
Maximum42
Range44
Interquartile range (IQR)4

Descriptive statistics

Standard deviation12.41113267
Coefficient of variation (CV)4.093231327
Kurtosis5.438348015
Mean3.032111231
Median Absolute Deviation (MAD)0
Skewness2.678199735
Sum36637
Variance154.0362143
MonotonicityNot monotonic
2022-07-26T03:01:25.776153image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-28496
70.3%
3986
 
8.2%
41726
 
6.0%
2610
 
5.0%
5587
 
4.9%
42392
 
3.2%
1286
 
2.4%
ValueCountFrequency (%)
-28496
70.3%
1286
 
2.4%
2610
 
5.0%
3986
 
8.2%
5587
 
4.9%
ValueCountFrequency (%)
42392
 
3.2%
41726
6.0%
5587
4.9%
3986
8.2%
2610
5.0%

REPLCFRZ
Real number (ℝ)

ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.810891335
Minimum-9
Maximum1
Zeros144
Zeros (%)1.2%
Negative11243
Negative (%)93.0%
Memory size94.5 KiB
2022-07-26T03:01:25.805699image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile1
Maximum1
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7636029381
Coefficient of variation (CV)-0.4216724236
Kurtosis16.42016977
Mean-1.810891335
Median Absolute Deviation (MAD)0
Skewness2.120723619
Sum-21881
Variance0.5830894471
MonotonicityNot monotonic
2022-07-26T03:01:25.834299image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-211230
92.9%
1696
 
5.8%
0144
 
1.2%
-913
 
0.1%
ValueCountFrequency (%)
-913
 
0.1%
-211230
92.9%
0144
 
1.2%
1696
 
5.8%
ValueCountFrequency (%)
1696
 
5.8%
0144
 
1.2%
-211230
92.9%
-913
 
0.1%

HELPFRZ
Real number (ℝ)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.883886452
Minimum-9
Maximum3
Zeros661
Zeros (%)5.5%
Negative11391
Negative (%)94.3%
Memory size94.5 KiB
2022-07-26T03:01:25.862663image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile0
Maximum3
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5042521306
Coefficient of variation (CV)-0.267665883
Kurtosis27.26398234
Mean-1.883886452
Median Absolute Deviation (MAD)0
Skewness2.778798154
Sum-22763
Variance0.2542702112
MonotonicityNot monotonic
2022-07-26T03:01:25.894015image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-211387
94.2%
0661
 
5.5%
117
 
0.1%
212
 
0.1%
-94
 
< 0.1%
32
 
< 0.1%
ValueCountFrequency (%)
-94
 
< 0.1%
-211387
94.2%
0661
 
5.5%
117
 
0.1%
212
 
0.1%
ValueCountFrequency (%)
32
 
< 0.1%
212
 
0.1%
117
 
0.1%
0661
 
5.5%
-211387
94.2%

HELPFRZY
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.988744517
Minimum-9
Maximum5
Zeros0
Zeros (%)0.0%
Negative12051
Negative (%)99.7%
Memory size94.5 KiB
2022-07-26T03:01:25.924446image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum5
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2822435441
Coefficient of variation (CV)-0.1419204637
Kurtosis420.3388476
Mean-1.988744517
Median Absolute Deviation (MAD)0
Skewness12.53096947
Sum-24030
Variance0.07966141817
MonotonicityNot monotonic
2022-07-26T03:01:25.953108image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-212048
99.7%
39
 
0.1%
48
 
0.1%
27
 
0.1%
15
 
< 0.1%
-93
 
< 0.1%
53
 
< 0.1%
ValueCountFrequency (%)
-93
 
< 0.1%
-212048
99.7%
15
 
< 0.1%
27
 
0.1%
39
 
0.1%
ValueCountFrequency (%)
53
 
< 0.1%
48
0.1%
39
0.1%
27
0.1%
15
< 0.1%

UPRTFRZR2
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.916990814
Minimum-2
Maximum2
Zeros0
Zeros (%)0.0%
Negative11814
Negative (%)97.8%
Memory size94.5 KiB
2022-07-26T03:01:25.984978image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum2
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5541182134
Coefficient of variation (CV)-0.2890562696
Kurtosis42.16798658
Mean-1.916990814
Median Absolute Deviation (MAD)0
Skewness6.609396358
Sum-23163
Variance0.3070469944
MonotonicityNot monotonic
2022-07-26T03:01:26.015069image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-211814
97.8%
2196
 
1.6%
173
 
0.6%
ValueCountFrequency (%)
-211814
97.8%
173
 
0.6%
2196
 
1.6%
ValueCountFrequency (%)
2196
 
1.6%
173
 
0.6%
-211814
97.8%

SIZFREEZ2
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.910121659
Minimum-2
Maximum4
Zeros0
Zeros (%)0.0%
Negative11814
Negative (%)97.8%
Memory size94.5 KiB
2022-07-26T03:01:26.048048image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum4
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6103174146
Coefficient of variation (CV)-0.3195175616
Kurtosis49.03061037
Mean-1.910121659
Median Absolute Deviation (MAD)0
Skewness6.976794398
Sum-23080
Variance0.3724873466
MonotonicityNot monotonic
2022-07-26T03:01:26.076704image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-211814
97.8%
2109
 
0.9%
184
 
0.7%
358
 
0.5%
418
 
0.1%
ValueCountFrequency (%)
-211814
97.8%
184
 
0.7%
2109
 
0.9%
358
 
0.5%
418
 
0.1%
ValueCountFrequency (%)
418
 
0.1%
358
 
0.5%
2109
 
0.9%
184
 
0.7%
-211814
97.8%

FREEZER2
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.925184143
Minimum-2
Maximum2
Zeros0
Zeros (%)0.0%
Negative11814
Negative (%)97.8%
Memory size94.5 KiB
2022-07-26T03:01:26.108265image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum2
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5009811979
Coefficient of variation (CV)-0.2602250802
Kurtosis43.82420917
Mean-1.925184143
Median Absolute Deviation (MAD)0
Skewness6.693189101
Sum-23262
Variance0.2509821607
MonotonicityNot monotonic
2022-07-26T03:01:26.138548image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-211814
97.8%
1172
 
1.4%
297
 
0.8%
ValueCountFrequency (%)
-211814
97.8%
1172
 
1.4%
297
 
0.8%
ValueCountFrequency (%)
297
 
0.8%
1172
 
1.4%
-211814
97.8%

AGEFRZR2
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.645121245
Minimum-2
Maximum42
Zeros0
Zeros (%)0.0%
Negative11814
Negative (%)97.8%
Memory size94.5 KiB
2022-07-26T03:01:26.172612image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum42
Range44
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.467997326
Coefficient of variation (CV)-2.108049688
Kurtosis143.8854116
Mean-1.645121245
Median Absolute Deviation (MAD)0
Skewness11.88971049
Sum-19878
Variance12.02700545
MonotonicityNot monotonic
2022-07-26T03:01:26.201795image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-211814
97.8%
374
 
0.6%
568
 
0.6%
4149
 
0.4%
235
 
0.3%
4226
 
0.2%
117
 
0.1%
ValueCountFrequency (%)
-211814
97.8%
117
 
0.1%
235
 
0.3%
374
 
0.6%
568
 
0.6%
ValueCountFrequency (%)
4226
 
0.2%
4149
0.4%
568
0.6%
374
0.6%
235
0.3%

DISHWASH
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6109409915
Minimum0
Maximum1
Zeros4701
Zeros (%)38.9%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:26.232301image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4875569399
Coefficient of variation (CV)0.7980426043
Kurtosis-1.793121911
Mean0.6109409915
Median Absolute Deviation (MAD)0
Skewness-0.4551647145
Sum7382
Variance0.2377117697
MonotonicityNot monotonic
2022-07-26T03:01:26.343810image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
17382
61.1%
04701
38.9%
ValueCountFrequency (%)
04701
38.9%
17382
61.1%
ValueCountFrequency (%)
17382
61.1%
04701
38.9%

DWASHUSE
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.493172225
Minimum-2
Maximum30
Zeros0
Zeros (%)0.0%
Negative4701
Negative (%)38.9%
Memory size94.5 KiB
2022-07-26T03:01:26.374588image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median12
Q313
95-th percentile30
Maximum30
Range32
Interquartile range (IQR)15

Descriptive statistics

Standard deviation10.62901749
Coefficient of variation (CV)1.119648652
Kurtosis-0.8297978742
Mean9.493172225
Median Absolute Deviation (MAD)8
Skewness0.4146980266
Sum114706
Variance112.9760128
MonotonicityNot monotonic
2022-07-26T03:01:26.402936image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-24701
38.9%
132415
20.0%
301337
 
11.1%
201291
 
10.7%
111285
 
10.6%
121054
 
8.7%
ValueCountFrequency (%)
-24701
38.9%
111285
 
10.6%
121054
 
8.7%
132415
20.0%
201291
 
10.7%
ValueCountFrequency (%)
301337
11.1%
201291
10.7%
132415
20.0%
121054
8.7%
111285
10.6%

AGEDW
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.017793594
Minimum-2
Maximum42
Zeros0
Zeros (%)0.0%
Negative4701
Negative (%)38.9%
Memory size94.5 KiB
2022-07-26T03:01:26.434782image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median2
Q33
95-th percentile41
Maximum42
Range44
Interquartile range (IQR)5

Descriptive statistics

Standard deviation14.15192701
Coefficient of variation (CV)2.351680361
Kurtosis2.277102597
Mean6.017793594
Median Absolute Deviation (MAD)4
Skewness2.020949813
Sum72713
Variance200.2770381
MonotonicityNot monotonic
2022-07-26T03:01:26.463394image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-24701
38.9%
32555
21.1%
21794
 
14.8%
411222
 
10.1%
1968
 
8.0%
5422
 
3.5%
42421
 
3.5%
ValueCountFrequency (%)
-24701
38.9%
1968
 
8.0%
21794
 
14.8%
32555
21.1%
5422
 
3.5%
ValueCountFrequency (%)
42421
 
3.5%
411222
10.1%
5422
 
3.5%
32555
21.1%
21794
14.8%

ESDISHW
Real number (ℝ)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.339402466
Minimum-9
Maximum1
Zeros1642
Zeros (%)13.6%
Negative7399
Negative (%)61.2%
Memory size94.5 KiB
2022-07-26T03:01:26.493474image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-9
Q1-2
median-2
Q31
95-th percentile1
Maximum1
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.221978492
Coefficient of variation (CV)-1.658932657
Kurtosis4.721865997
Mean-1.339402466
Median Absolute Deviation (MAD)0
Skewness-1.834927188
Sum-16184
Variance4.93718842
MonotonicityNot monotonic
2022-07-26T03:01:26.522902image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-26766
56.0%
13042
25.2%
01642
 
13.6%
-9630
 
5.2%
-83
 
< 0.1%
ValueCountFrequency (%)
-9630
 
5.2%
-83
 
< 0.1%
-26766
56.0%
01642
 
13.6%
13042
25.2%
ValueCountFrequency (%)
13042
25.2%
01642
 
13.6%
-26766
56.0%
-83
 
< 0.1%
-9630
 
5.2%

REPLCDW
Real number (ℝ)

ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.469585368
Minimum-9
Maximum1
Zeros520
Zeros (%)4.3%
Negative9652
Negative (%)79.9%
Memory size94.5 KiB
2022-07-26T03:01:26.553470image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile1
Maximum1
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.234993438
Coefficient of variation (CV)-0.8403686271
Kurtosis5.595428744
Mean-1.469585368
Median Absolute Deviation (MAD)0
Skewness0.2986324357
Sum-17757
Variance1.525208792
MonotonicityNot monotonic
2022-07-26T03:01:26.582117image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-29600
79.5%
11911
 
15.8%
0520
 
4.3%
-952
 
0.4%
ValueCountFrequency (%)
-952
 
0.4%
-29600
79.5%
0520
 
4.3%
11911
 
15.8%
ValueCountFrequency (%)
11911
 
15.8%
0520
 
4.3%
-29600
79.5%
-952
 
0.4%

HELPDW
Real number (ℝ)

ZEROS

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.678887693
Minimum-9
Maximum4
Zeros1700
Zeros (%)14.1%
Negative10195
Negative (%)84.4%
Memory size94.5 KiB
2022-07-26T03:01:26.610725image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile0
Maximum4
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8603962821
Coefficient of variation (CV)-0.5124799505
Kurtosis12.51454744
Mean-1.678887693
Median Absolute Deviation (MAD)0
Skewness0.6955585149
Sum-20286
Variance0.7402817622
MonotonicityNot monotonic
2022-07-26T03:01:26.642850image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
-210172
84.2%
01700
 
14.1%
1135
 
1.1%
233
 
0.3%
-922
 
0.2%
317
 
0.1%
43
 
< 0.1%
-81
 
< 0.1%
ValueCountFrequency (%)
-922
 
0.2%
-81
 
< 0.1%
-210172
84.2%
01700
 
14.1%
1135
 
1.1%
ValueCountFrequency (%)
43
 
< 0.1%
317
 
0.1%
233
 
0.3%
1135
 
1.1%
01700
14.1%

HELPDWY
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.928246296
Minimum-9
Maximum6
Zeros0
Zeros (%)0.0%
Negative11892
Negative (%)98.4%
Memory size94.5 KiB
2022-07-26T03:01:26.674341image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum6
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7326195897
Coefficient of variation (CV)-0.3799408774
Kurtosis63.84111991
Mean-1.928246296
Median Absolute Deviation (MAD)0
Skewness5.079182751
Sum-23299
Variance0.5367314633
MonotonicityNot monotonic
2022-07-26T03:01:26.704574image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-211872
98.3%
465
 
0.5%
342
 
0.3%
237
 
0.3%
528
 
0.2%
-919
 
0.2%
118
 
0.1%
61
 
< 0.1%
-81
 
< 0.1%
ValueCountFrequency (%)
-919
 
0.2%
-81
 
< 0.1%
-211872
98.3%
118
 
0.1%
237
 
0.3%
ValueCountFrequency (%)
61
 
< 0.1%
528
0.2%
465
0.5%
342
0.3%
237
0.3%

CWASHER
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8303401473
Minimum0
Maximum1
Zeros2050
Zeros (%)17.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:26.737501image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3753492334
Coefficient of variation (CV)0.4520427377
Kurtosis1.099423485
Mean0.8303401473
Median Absolute Deviation (MAD)0
Skewness-1.760466283
Sum10033
Variance0.140887047
MonotonicityNot monotonic
2022-07-26T03:01:26.767737image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
110033
83.0%
02050
 
17.0%
ValueCountFrequency (%)
02050
 
17.0%
110033
83.0%
ValueCountFrequency (%)
110033
83.0%
02050
 
17.0%

TOPFRONT
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6516593561
Minimum-2
Maximum2
Zeros0
Zeros (%)0.0%
Negative2050
Negative (%)17.0%
Memory size94.5 KiB
2022-07-26T03:01:26.798452image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q11
median1
Q31
95-th percentile2
Maximum2
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.251545452
Coefficient of variation (CV)1.92055165
Kurtosis0.6405054541
Mean0.6516593561
Median Absolute Deviation (MAD)0
Skewness-1.398627206
Sum7874
Variance1.566366018
MonotonicityNot monotonic
2022-07-26T03:01:26.828446image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
18092
67.0%
-22050
 
17.0%
21941
 
16.1%
ValueCountFrequency (%)
-22050
 
17.0%
18092
67.0%
21941
 
16.1%
ValueCountFrequency (%)
21941
 
16.1%
18092
67.0%
-22050
 
17.0%

WASHLOAD
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.774393776
Minimum-2
Maximum5
Zeros0
Zeros (%)0.0%
Negative2050
Negative (%)17.0%
Memory size94.5 KiB
2022-07-26T03:01:26.862458image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q12
median2
Q33
95-th percentile4
Maximum5
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.87635064
Coefficient of variation (CV)1.057460111
Kurtosis0.1556973156
Mean1.774393776
Median Absolute Deviation (MAD)1
Skewness-1.07313565
Sum21440
Variance3.520691726
MonotonicityNot monotonic
2022-07-26T03:01:26.895052image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
24377
36.2%
33659
30.3%
-22050
17.0%
4976
 
8.1%
1800
 
6.6%
5221
 
1.8%
ValueCountFrequency (%)
-22050
17.0%
1800
 
6.6%
24377
36.2%
33659
30.3%
4976
 
8.1%
ValueCountFrequency (%)
5221
 
1.8%
4976
 
8.1%
33659
30.3%
24377
36.2%
1800
 
6.6%

WASHTEMP
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.651493834
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative2050
Negative (%)17.0%
Memory size94.5 KiB
2022-07-26T03:01:26.925639image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q12
median2
Q33
95-th percentile3
Maximum3
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.739476138
Coefficient of variation (CV)1.053274376
Kurtosis0.43509209
Mean1.651493834
Median Absolute Deviation (MAD)1
Skewness-1.391596268
Sum19955
Variance3.025777234
MonotonicityNot monotonic
2022-07-26T03:01:26.955833image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
24808
39.8%
34607
38.1%
-22050
17.0%
1618
 
5.1%
ValueCountFrequency (%)
-22050
17.0%
1618
 
5.1%
24808
39.8%
34607
38.1%
ValueCountFrequency (%)
34607
38.1%
24808
39.8%
1618
 
5.1%
-22050
17.0%

RNSETEMP
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.977157991
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative2050
Negative (%)17.0%
Memory size94.5 KiB
2022-07-26T03:01:26.984927image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q12
median3
Q33
95-th percentile3
Maximum3
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.842581901
Coefficient of variation (CV)0.9319345797
Kurtosis0.7485480577
Mean1.977157991
Median Absolute Deviation (MAD)0
Skewness-1.594091781
Sum23890
Variance3.395108062
MonotonicityNot monotonic
2022-07-26T03:01:27.015572image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
38075
66.8%
-22050
 
17.0%
21807
 
15.0%
1151
 
1.2%
ValueCountFrequency (%)
-22050
 
17.0%
1151
 
1.2%
21807
 
15.0%
38075
66.8%
ValueCountFrequency (%)
38075
66.8%
21807
 
15.0%
1151
 
1.2%
-22050
 
17.0%

AGECWASH
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.978730448
Minimum-2
Maximum42
Zeros0
Zeros (%)0.0%
Negative2050
Negative (%)17.0%
Memory size94.5 KiB
2022-07-26T03:01:27.047251image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q11
median3
Q33
95-th percentile41
Maximum42
Range44
Interquartile range (IQR)2

Descriptive statistics

Standard deviation15.66030923
Coefficient of variation (CV)1.744156294
Kurtosis0.4695039534
Mean8.978730448
Median Absolute Deviation (MAD)2
Skewness1.542611517
Sum108490
Variance245.245285
MonotonicityNot monotonic
2022-07-26T03:01:27.075882image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
33390
28.1%
22536
21.0%
-22050
17.0%
411701
14.1%
11443
11.9%
42577
 
4.8%
5386
 
3.2%
ValueCountFrequency (%)
-22050
17.0%
11443
11.9%
22536
21.0%
33390
28.1%
5386
 
3.2%
ValueCountFrequency (%)
42577
 
4.8%
411701
14.1%
5386
 
3.2%
33390
28.1%
22536
21.0%

ESCWASH
Real number (ℝ)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9280807746
Minimum-9
Maximum1
Zeros2197
Zeros (%)18.2%
Negative5410
Negative (%)44.8%
Memory size94.5 KiB
2022-07-26T03:01:27.105432image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-9
Q1-2
median0
Q31
95-th percentile1
Maximum1
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.39437524
Coefficient of variation (CV)-2.579921173
Kurtosis4.610410558
Mean-0.9280807746
Median Absolute Deviation (MAD)1
Skewness-2.036347182
Sum-11214
Variance5.733032792
MonotonicityNot monotonic
2022-07-26T03:01:27.135362image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-24714
39.0%
14476
37.0%
02197
18.2%
-9694
 
5.7%
-82
 
< 0.1%
ValueCountFrequency (%)
-9694
 
5.7%
-82
 
< 0.1%
-24714
39.0%
02197
18.2%
14476
37.0%
ValueCountFrequency (%)
14476
37.0%
02197
18.2%
-24714
39.0%
-82
 
< 0.1%
-9694
 
5.7%

REPLCCW
Real number (ℝ)

ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.180749814
Minimum-9
Maximum1
Zeros413
Zeros (%)3.4%
Negative8494
Negative (%)70.3%
Memory size94.5 KiB
2022-07-26T03:01:27.166560image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q31
95-th percentile1
Maximum1
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.447395826
Coefficient of variation (CV)-1.225827698
Kurtosis3.025930412
Mean-1.180749814
Median Absolute Deviation (MAD)0
Skewness-0.05710290095
Sum-14267
Variance2.094954677
MonotonicityNot monotonic
2022-07-26T03:01:27.196562image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-28429
69.8%
13176
 
26.3%
0413
 
3.4%
-965
 
0.5%
ValueCountFrequency (%)
-965
 
0.5%
-28429
69.8%
0413
 
3.4%
13176
 
26.3%
ValueCountFrequency (%)
13176
 
26.3%
0413
 
3.4%
-28429
69.8%
-965
 
0.5%

HELPCW
Real number (ℝ)

ZEROS

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.449226186
Minimum-9
Maximum4
Zeros2823
Zeros (%)23.4%
Negative8931
Negative (%)73.9%
Memory size94.5 KiB
2022-07-26T03:01:27.226398image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q30
95-th percentile0
Maximum4
Range13
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.044118655
Coefficient of variation (CV)-0.720466319
Kurtosis5.981938919
Mean-1.449226186
Median Absolute Deviation (MAD)0
Skewness0.5399447412
Sum-17511
Variance1.090183766
MonotonicityNot monotonic
2022-07-26T03:01:27.336573image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-28907
73.7%
02823
 
23.4%
1177
 
1.5%
2115
 
1.0%
336
 
0.3%
-924
 
0.2%
41
 
< 0.1%
ValueCountFrequency (%)
-924
 
0.2%
-28907
73.7%
02823
 
23.4%
1177
 
1.5%
2115
 
1.0%
ValueCountFrequency (%)
41
 
< 0.1%
336
 
0.3%
2115
 
1.0%
1177
 
1.5%
02823
23.4%

HELPCWY
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.865927336
Minimum-9
Maximum6
Zeros0
Zeros (%)0.0%
Negative11750
Negative (%)97.2%
Memory size94.5 KiB
2022-07-26T03:01:27.367770image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum6
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9328027819
Coefficient of variation (CV)-0.4999137769
Kurtosis35.95274541
Mean-1.865927336
Median Absolute Deviation (MAD)0
Skewness4.590474051
Sum-22546
Variance0.87012103
MonotonicityNot monotonic
2022-07-26T03:01:27.397837image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
-211730
97.1%
4107
 
0.9%
396
 
0.8%
254
 
0.4%
546
 
0.4%
128
 
0.2%
-920
 
0.2%
62
 
< 0.1%
ValueCountFrequency (%)
-920
 
0.2%
-211730
97.1%
128
 
0.2%
254
 
0.4%
396
 
0.8%
ValueCountFrequency (%)
62
 
< 0.1%
546
0.4%
4107
0.9%
396
0.8%
254
0.4%

DRYER
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8047670281
Minimum0
Maximum1
Zeros2359
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:27.430530image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3963963456
Coefficient of variation (CV)0.4925603707
Kurtosis0.3653289507
Mean0.8047670281
Median Absolute Deviation (MAD)0
Skewness-1.537942947
Sum9724
Variance0.1571300628
MonotonicityNot monotonic
2022-07-26T03:01:27.460085image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
19724
80.5%
02359
 
19.5%
ValueCountFrequency (%)
02359
 
19.5%
19724
80.5%
ValueCountFrequency (%)
19724
80.5%
02359
 
19.5%

DRYRFUEL
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.981461558
Minimum-2
Maximum5
Zeros0
Zeros (%)0.0%
Negative2359
Negative (%)19.5%
Memory size94.5 KiB
2022-07-26T03:01:27.489617image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q11
median5
Q35
95-th percentile5
Maximum5
Range7
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.841591787
Coefficient of variation (CV)0.9530868441
Kurtosis-0.9556616608
Mean2.981461558
Median Absolute Deviation (MAD)0
Skewness-0.8761878144
Sum36025
Variance8.074643883
MonotonicityNot monotonic
2022-07-26T03:01:27.519188image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
57729
64.0%
-22359
 
19.5%
11892
 
15.7%
2103
 
0.9%
ValueCountFrequency (%)
-22359
 
19.5%
11892
 
15.7%
2103
 
0.9%
57729
64.0%
ValueCountFrequency (%)
57729
64.0%
2103
 
0.9%
11892
 
15.7%
-22359
 
19.5%

DRYRUSE
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5760158901
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative2359
Negative (%)19.5%
Memory size94.5 KiB
2022-07-26T03:01:27.551442image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q11
median1
Q31
95-th percentile2
Maximum3
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.331899179
Coefficient of variation (CV)2.312261174
Kurtosis0.09625732674
Mean0.5760158901
Median Absolute Deviation (MAD)0
Skewness-1.13154879
Sum6960
Variance1.773955422
MonotonicityNot monotonic
2022-07-26T03:01:27.582999image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
17980
66.0%
-22359
 
19.5%
21534
 
12.7%
3210
 
1.7%
ValueCountFrequency (%)
-22359
 
19.5%
17980
66.0%
21534
 
12.7%
3210
 
1.7%
ValueCountFrequency (%)
3210
 
1.7%
21534
 
12.7%
17980
66.0%
-22359
 
19.5%

AGECDRYER
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.239510055
Minimum-2
Maximum42
Zeros0
Zeros (%)0.0%
Negative2359
Negative (%)19.5%
Memory size94.5 KiB
2022-07-26T03:01:27.615372image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q11
median3
Q33
95-th percentile42
Maximum42
Range44
Interquartile range (IQR)2

Descriptive statistics

Standard deviation15.97952997
Coefficient of variation (CV)1.729478065
Kurtosis0.2565873742
Mean9.239510055
Median Absolute Deviation (MAD)2
Skewness1.471315403
Sum111641
Variance255.3453781
MonotonicityNot monotonic
2022-07-26T03:01:27.643582image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
33289
27.2%
-22359
19.5%
22286
18.9%
411725
14.3%
11290
 
10.7%
42655
 
5.4%
5479
 
4.0%
ValueCountFrequency (%)
-22359
19.5%
11290
 
10.7%
22286
18.9%
33289
27.2%
5479
 
4.0%
ValueCountFrequency (%)
42655
 
5.4%
411725
14.3%
5479
 
4.0%
33289
27.2%
22286
18.9%

TVCOLOR
Real number (ℝ≥0)

ZEROS

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.588181743
Minimum0
Maximum14
Zeros148
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:27.673668image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum14
Range14
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.367281268
Coefficient of variation (CV)0.5282786929
Kurtosis1.99653628
Mean2.588181743
Median Absolute Deviation (MAD)1
Skewness1.013002238
Sum31273
Variance1.869458066
MonotonicityNot monotonic
2022-07-26T03:01:27.705847image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
23977
32.9%
32892
23.9%
12431
20.1%
41569
 
13.0%
5678
 
5.6%
6255
 
2.1%
0148
 
1.2%
782
 
0.7%
834
 
0.3%
98
 
0.1%
Other values (3)9
 
0.1%
ValueCountFrequency (%)
0148
 
1.2%
12431
20.1%
23977
32.9%
32892
23.9%
41569
 
13.0%
ValueCountFrequency (%)
141
 
< 0.1%
122
 
< 0.1%
106
 
< 0.1%
98
 
0.1%
834
0.3%

TVSIZE1
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.264090044
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative148
Negative (%)1.2%
Memory size94.5 KiB
2022-07-26T03:01:27.738792image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum3
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8041178921
Coefficient of variation (CV)0.3551616219
Kurtosis7.621259986
Mean2.264090044
Median Absolute Deviation (MAD)1
Skewness-1.926615065
Sum27357
Variance0.6466055843
MonotonicityNot monotonic
2022-07-26T03:01:27.769136image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
25648
46.7%
35035
41.7%
11252
 
10.4%
-2148
 
1.2%
ValueCountFrequency (%)
-2148
 
1.2%
11252
 
10.4%
25648
46.7%
35035
41.7%
ValueCountFrequency (%)
35035
41.7%
25648
46.7%
11252
 
10.4%
-2148
 
1.2%

TVTYPE1
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.729951171
Minimum-2
Maximum5
Zeros0
Zeros (%)0.0%
Negative148
Negative (%)1.2%
Memory size94.5 KiB
2022-07-26T03:01:27.799243image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum5
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.959786999
Coefficient of variation (CV)0.5548058321
Kurtosis3.083921366
Mean1.729951171
Median Absolute Deviation (MAD)1
Skewness0.3301111759
Sum20903
Variance0.9211910835
MonotonicityNot monotonic
2022-07-26T03:01:27.828596image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
15218
43.2%
24979
41.2%
31059
 
8.8%
4549
 
4.5%
-2148
 
1.2%
5130
 
1.1%
ValueCountFrequency (%)
-2148
 
1.2%
15218
43.2%
24979
41.2%
31059
 
8.8%
4549
 
4.5%
ValueCountFrequency (%)
5130
 
1.1%
4549
 
4.5%
31059
 
8.8%
24979
41.2%
15218
43.2%

CABLESAT1
Real number (ℝ)

ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.019779856
Minimum-2
Maximum2
Zeros2277
Zeros (%)18.8%
Negative148
Negative (%)1.2%
Memory size94.5 KiB
2022-07-26T03:01:27.861102image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum2
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7370957189
Coefficient of variation (CV)0.7227988615
Kurtosis1.909264133
Mean1.019779856
Median Absolute Deviation (MAD)0
Skewness-0.7653673006
Sum12322
Variance0.5433100989
MonotonicityNot monotonic
2022-07-26T03:01:27.891230image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
16698
55.4%
22960
24.5%
02277
 
18.8%
-2148
 
1.2%
ValueCountFrequency (%)
-2148
 
1.2%
02277
 
18.8%
16698
55.4%
22960
24.5%
ValueCountFrequency (%)
22960
24.5%
16698
55.4%
02277
 
18.8%
-2148
 
1.2%

COMBODVR1
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.08797484069
Minimum-2
Maximum1
Zeros5871
Zeros (%)48.6%
Negative2425
Negative (%)20.1%
Memory size94.5 KiB
2022-07-26T03:01:27.923574image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q10
median0
Q31
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.052876289
Coefficient of variation (CV)-11.96792493
Kurtosis-0.4591652845
Mean-0.08797484069
Median Absolute Deviation (MAD)1
Skewness-0.8560612715
Sum-1063
Variance1.108548481
MonotonicityNot monotonic
2022-07-26T03:01:27.951828image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
05871
48.6%
13787
31.3%
-22425
20.1%
ValueCountFrequency (%)
-22425
20.1%
05871
48.6%
13787
31.3%
ValueCountFrequency (%)
13787
31.3%
05871
48.6%
-22425
20.1%

DVR1
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5564843168
Minimum-2
Maximum1
Zeros7002
Zeros (%)57.9%
Negative3935
Negative (%)32.6%
Memory size94.5 KiB
2022-07-26T03:01:27.982656image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median0
Q30
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.043032053
Coefficient of variation (CV)-1.874324255
Kurtosis-1.28775627
Mean-0.5564843168
Median Absolute Deviation (MAD)0
Skewness-0.4601933366
Sum-6724
Variance1.087915863
MonotonicityNot monotonic
2022-07-26T03:01:28.011947image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
07002
57.9%
-23935
32.6%
11146
 
9.5%
ValueCountFrequency (%)
-23935
32.6%
07002
57.9%
11146
 
9.5%
ValueCountFrequency (%)
11146
 
9.5%
07002
57.9%
-23935
32.6%

DIGITSTB1
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2012745179
Minimum-2
Maximum1
Zeros9207
Zeros (%)76.2%
Negative148
Negative (%)1.2%
Memory size94.5 KiB
2022-07-26T03:01:28.043873image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4840187575
Coefficient of variation (CV)2.404769181
Kurtosis3.940319053
Mean0.2012745179
Median Absolute Deviation (MAD)0
Skewness-0.1924724833
Sum2432
Variance0.2342741576
MonotonicityNot monotonic
2022-07-26T03:01:28.072318image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
09207
76.2%
12728
 
22.6%
-2148
 
1.2%
ValueCountFrequency (%)
-2148
 
1.2%
09207
76.2%
12728
 
22.6%
ValueCountFrequency (%)
12728
 
22.6%
09207
76.2%
-2148
 
1.2%

PLAYSTA1
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2414135562
Minimum-2
Maximum1
Zeros8722
Zeros (%)72.2%
Negative148
Negative (%)1.2%
Memory size94.5 KiB
2022-07-26T03:01:28.103434image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5066023824
Coefficient of variation (CV)2.098483575
Kurtosis3.070458677
Mean0.2414135562
Median Absolute Deviation (MAD)0
Skewness-0.2462272882
Sum2917
Variance0.2566459739
MonotonicityNot monotonic
2022-07-26T03:01:28.131709image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
08722
72.2%
13213
 
26.6%
-2148
 
1.2%
ValueCountFrequency (%)
-2148
 
1.2%
08722
72.2%
13213
 
26.6%
ValueCountFrequency (%)
13213
 
26.6%
08722
72.2%
-2148
 
1.2%

COMBOVCRDVD1
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2361996193
Minimum-2
Maximum1
Zeros8785
Zeros (%)72.7%
Negative148
Negative (%)1.2%
Memory size94.5 KiB
2022-07-26T03:01:28.162668image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5039067935
Coefficient of variation (CV)2.133393758
Kurtosis3.164417976
Mean0.2361996193
Median Absolute Deviation (MAD)0
Skewness-0.2375186442
Sum2854
Variance0.2539220565
MonotonicityNot monotonic
2022-07-26T03:01:28.190747image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
08785
72.7%
13150
 
26.1%
-2148
 
1.2%
ValueCountFrequency (%)
-2148
 
1.2%
08785
72.7%
13150
 
26.1%
ValueCountFrequency (%)
13150
 
26.1%
08785
72.7%
-2148
 
1.2%

VCR1
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1517834975
Minimum-2
Maximum1
Zeros9805
Zeros (%)81.1%
Negative148
Negative (%)1.2%
Memory size94.5 KiB
2022-07-26T03:01:28.222057image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4497262374
Coefficient of variation (CV)2.962945543
Kurtosis5.664800357
Mean0.1517834975
Median Absolute Deviation (MAD)0
Skewness-0.1901740052
Sum1834
Variance0.2022536886
MonotonicityNot monotonic
2022-07-26T03:01:28.331511image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
09805
81.1%
12130
 
17.6%
-2148
 
1.2%
ValueCountFrequency (%)
-2148
 
1.2%
09805
81.1%
12130
 
17.6%
ValueCountFrequency (%)
12130
 
17.6%
09805
81.1%
-2148
 
1.2%

DVD1
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4887858975
Minimum-2
Maximum1
Zeros5733
Zeros (%)47.4%
Negative148
Negative (%)1.2%
Memory size94.5 KiB
2022-07-26T03:01:28.362301image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5686762618
Coefficient of variation (CV)1.163446541
Kurtosis2.089776318
Mean0.4887858975
Median Absolute Deviation (MAD)0
Skewness-0.9553598467
Sum5906
Variance0.3233926907
MonotonicityNot monotonic
2022-07-26T03:01:28.390495image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
16202
51.3%
05733
47.4%
-2148
 
1.2%
ValueCountFrequency (%)
-2148
 
1.2%
05733
47.4%
16202
51.3%
ValueCountFrequency (%)
16202
51.3%
05733
47.4%
-2148
 
1.2%

TVAUDIOSYS1
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1655218075
Minimum-2
Maximum1
Zeros9639
Zeros (%)79.8%
Negative148
Negative (%)1.2%
Memory size94.5 KiB
2022-07-26T03:01:28.421581image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.460036451
Coefficient of variation (CV)2.779310219
Kurtosis5.088630774
Mean0.1655218075
Median Absolute Deviation (MAD)0
Skewness-0.1806745576
Sum2000
Variance0.2116335363
MonotonicityNot monotonic
2022-07-26T03:01:28.450052image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
09639
79.8%
12296
 
19.0%
-2148
 
1.2%
ValueCountFrequency (%)
-2148
 
1.2%
09639
79.8%
12296
 
19.0%
ValueCountFrequency (%)
12296
 
19.0%
09639
79.8%
-2148
 
1.2%

OTHERSTB1
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005048415129
Minimum-2
Maximum1
Zeros11578
Zeros (%)95.8%
Negative148
Negative (%)1.2%
Memory size94.5 KiB
2022-07-26T03:01:28.481570image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2802161838
Coefficient of variation (CV)55.50577292
Kurtosis33.82460854
Mean0.005048415129
Median Absolute Deviation (MAD)0
Skewness-3.165485291
Sum61
Variance0.07852110964
MonotonicityNot monotonic
2022-07-26T03:01:28.509788image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
011578
95.8%
1357
 
3.0%
-2148
 
1.2%
ValueCountFrequency (%)
-2148
 
1.2%
011578
95.8%
1357
 
3.0%
ValueCountFrequency (%)
1357
 
3.0%
011578
95.8%
-2148
 
1.2%

TVONWD1
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.017214268
Minimum-2
Maximum5
Zeros0
Zeros (%)0.0%
Negative148
Negative (%)1.2%
Memory size94.5 KiB
2022-07-26T03:01:28.541564image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.196073815
Coefficient of variation (CV)0.3964165977
Kurtosis2.341107612
Mean3.017214268
Median Absolute Deviation (MAD)1
Skewness-0.6470568385
Sum36457
Variance1.43059257
MonotonicityNot monotonic
2022-07-26T03:01:28.570465image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
34608
38.1%
22991
24.8%
42249
18.6%
51466
 
12.1%
1621
 
5.1%
-2148
 
1.2%
ValueCountFrequency (%)
-2148
 
1.2%
1621
 
5.1%
22991
24.8%
34608
38.1%
42249
18.6%
ValueCountFrequency (%)
51466
 
12.1%
42249
18.6%
34608
38.1%
22991
24.8%
1621
 
5.1%

TVONWDWATCH1
Real number (ℝ)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6850947612
Minimum-2
Maximum4
Zeros609
Zeros (%)5.0%
Negative8870
Negative (%)73.4%
Memory size94.5 KiB
2022-07-26T03:01:28.602168image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q30
95-th percentile4
Maximum4
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.326601838
Coefficient of variation (CV)-3.396029234
Kurtosis-0.04804558326
Mean-0.6850947612
Median Absolute Deviation (MAD)0
Skewness1.340497893
Sum-8278
Variance5.41307611
MonotonicityNot monotonic
2022-07-26T03:01:28.630668image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-28870
73.4%
41917
 
15.9%
0609
 
5.0%
3456
 
3.8%
2195
 
1.6%
136
 
0.3%
ValueCountFrequency (%)
-28870
73.4%
0609
 
5.0%
136
 
0.3%
2195
 
1.6%
3456
 
3.8%
ValueCountFrequency (%)
41917
15.9%
3456
 
3.8%
2195
 
1.6%
136
 
0.3%
0609
 
5.0%

TVONWE1
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.206819498
Minimum-2
Maximum5
Zeros0
Zeros (%)0.0%
Negative148
Negative (%)1.2%
Memory size94.5 KiB
2022-07-26T03:01:28.661897image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.251324677
Coefficient of variation (CV)0.3902073932
Kurtosis2.106922758
Mean3.206819498
Median Absolute Deviation (MAD)1
Skewness-0.8095802387
Sum38748
Variance1.565813448
MonotonicityNot monotonic
2022-07-26T03:01:28.691418image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
34204
34.8%
42827
23.4%
22236
18.5%
51996
16.5%
1672
 
5.6%
-2148
 
1.2%
ValueCountFrequency (%)
-2148
 
1.2%
1672
 
5.6%
22236
18.5%
34204
34.8%
42827
23.4%
ValueCountFrequency (%)
51996
16.5%
42827
23.4%
34204
34.8%
22236
18.5%
1672
 
5.6%

TVONWEWATCH1
Real number (ℝ)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7072746834
Minimum-2
Maximum4
Zeros656
Zeros (%)5.4%
Negative8870
Negative (%)73.4%
Memory size94.5 KiB
2022-07-26T03:01:28.723308image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q30
95-th percentile4
Maximum4
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.296251715
Coefficient of variation (CV)-3.246619409
Kurtosis0.02293721279
Mean-0.7072746834
Median Absolute Deviation (MAD)0
Skewness1.360845319
Sum-8546
Variance5.272771938
MonotonicityNot monotonic
2022-07-26T03:01:28.752262image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-28870
73.4%
41787
 
14.8%
0656
 
5.4%
3540
 
4.5%
2196
 
1.6%
134
 
0.3%
ValueCountFrequency (%)
-28870
73.4%
0656
 
5.4%
134
 
0.3%
2196
 
1.6%
3540
 
4.5%
ValueCountFrequency (%)
41787
14.8%
3540
 
4.5%
2196
 
1.6%
134
 
0.3%
0656
 
5.4%

TVSIZE2
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9695439874
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative2579
Negative (%)21.3%
Memory size94.5 KiB
2022-07-26T03:01:28.782263image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q11
median2
Q32
95-th percentile3
Maximum3
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.657346144
Coefficient of variation (CV)1.709407892
Kurtosis-0.4966837057
Mean0.9695439874
Median Absolute Deviation (MAD)1
Skewness-0.9342560296
Sum11715
Variance2.746796241
MonotonicityNot monotonic
2022-07-26T03:01:28.812984image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
24751
39.3%
13444
28.5%
-22579
21.3%
31309
 
10.8%
ValueCountFrequency (%)
-22579
21.3%
13444
28.5%
24751
39.3%
31309
 
10.8%
ValueCountFrequency (%)
31309
 
10.8%
24751
39.3%
13444
28.5%
-22579
21.3%

TVTYPE2
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7196060581
Minimum-2
Maximum5
Zeros0
Zeros (%)0.0%
Negative2579
Negative (%)21.3%
Memory size94.5 KiB
2022-07-26T03:01:28.843752image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q11
median1
Q32
95-th percentile3
Maximum5
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.551575
Coefficient of variation (CV)2.156144994
Kurtosis-0.1863014903
Mean0.7196060581
Median Absolute Deviation (MAD)0
Skewness-0.6840835061
Sum8695
Variance2.40738498
MonotonicityNot monotonic
2022-07-26T03:01:28.873931image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
16070
50.2%
22789
23.1%
-22579
21.3%
3428
 
3.5%
4164
 
1.4%
553
 
0.4%
ValueCountFrequency (%)
-22579
21.3%
16070
50.2%
22789
23.1%
3428
 
3.5%
4164
 
1.4%
ValueCountFrequency (%)
553
 
0.4%
4164
 
1.4%
3428
 
3.5%
22789
23.1%
16070
50.2%

CABLESAT2
Real number (ℝ)

ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3146569561
Minimum-2
Maximum2
Zeros2718
Zeros (%)22.5%
Negative2579
Negative (%)21.3%
Memory size94.5 KiB
2022-07-26T03:01:28.906904image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q10
median1
Q31
95-th percentile2
Maximum2
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.362456685
Coefficient of variation (CV)4.329974783
Kurtosis-0.7751193328
Mean0.3146569561
Median Absolute Deviation (MAD)1
Skewness-0.6603730268
Sum3802
Variance1.856288218
MonotonicityNot monotonic
2022-07-26T03:01:28.938693image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
14612
38.2%
02718
22.5%
-22579
21.3%
22174
18.0%
ValueCountFrequency (%)
-22579
21.3%
02718
22.5%
14612
38.2%
22174
18.0%
ValueCountFrequency (%)
22174
18.0%
14612
38.2%
02718
22.5%
-22579
21.3%

COMBODVR2
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.768683274
Minimum-2
Maximum1
Zeros5480
Zeros (%)45.4%
Negative5297
Negative (%)43.8%
Memory size94.5 KiB
2022-07-26T03:01:28.972246image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median0
Q30
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.127322035
Coefficient of variation (CV)-1.466562462
Kurtosis-1.623065197
Mean-0.768683274
Median Absolute Deviation (MAD)1
Skewness-0.01004186886
Sum-9288
Variance1.27085497
MonotonicityNot monotonic
2022-07-26T03:01:29.000983image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
05480
45.4%
-25297
43.8%
11306
 
10.8%
ValueCountFrequency (%)
-25297
43.8%
05480
45.4%
11306
 
10.8%
ValueCountFrequency (%)
11306
 
10.8%
05480
45.4%
-25297
43.8%

DVR2
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6074650335
Minimum-2
Maximum1
Zeros7768
Zeros (%)64.3%
Negative3885
Negative (%)32.2%
Memory size94.5 KiB
2022-07-26T03:01:29.032998image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median0
Q30
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.976092576
Coefficient of variation (CV)-1.606829236
Kurtosis-1.309655044
Mean-0.6074650335
Median Absolute Deviation (MAD)0
Skewness-0.619848973
Sum-7340
Variance0.9527567169
MonotonicityNot monotonic
2022-07-26T03:01:29.062533image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
07768
64.3%
-23885
32.2%
1430
 
3.6%
ValueCountFrequency (%)
-23885
32.2%
07768
64.3%
1430
 
3.6%
ValueCountFrequency (%)
1430
 
3.6%
07768
64.3%
-23885
32.2%

DIGITSTB2
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.313829347
Minimum-2
Maximum1
Zeros8138
Zeros (%)67.4%
Negative2579
Negative (%)21.3%
Memory size94.5 KiB
2022-07-26T03:01:29.094299image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q10
median0
Q30
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9318776142
Coefficient of variation (CV)-2.969376902
Kurtosis-0.2558589166
Mean-0.313829347
Median Absolute Deviation (MAD)0
Skewness-0.9221401241
Sum-3792
Variance0.8683958878
MonotonicityNot monotonic
2022-07-26T03:01:29.121704image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
08138
67.4%
-22579
 
21.3%
11366
 
11.3%
ValueCountFrequency (%)
-22579
 
21.3%
08138
67.4%
11366
 
11.3%
ValueCountFrequency (%)
11366
 
11.3%
08138
67.4%
-22579
 
21.3%

PLAYSTA2
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2986013407
Minimum-2
Maximum1
Zeros7954
Zeros (%)65.8%
Negative2579
Negative (%)21.3%
Memory size94.5 KiB
2022-07-26T03:01:29.151862image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q10
median0
Q30
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.944961388
Coefficient of variation (CV)-3.164625402
Kurtosis-0.2920197481
Mean-0.2986013407
Median Absolute Deviation (MAD)0
Skewness-0.8923417186
Sum-3608
Variance0.8929520247
MonotonicityNot monotonic
2022-07-26T03:01:29.179318image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
07954
65.8%
-22579
 
21.3%
11550
 
12.8%
ValueCountFrequency (%)
-22579
 
21.3%
07954
65.8%
11550
 
12.8%
ValueCountFrequency (%)
11550
 
12.8%
07954
65.8%
-22579
 
21.3%

COMBOVCRDVD2
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3250848299
Minimum-2
Maximum1
Zeros8274
Zeros (%)68.5%
Negative2579
Negative (%)21.3%
Memory size94.5 KiB
2022-07-26T03:01:29.209488image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q10
median0
Q30
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9219260222
Coefficient of variation (CV)-2.835955226
Kurtosis-0.2289051023
Mean-0.3250848299
Median Absolute Deviation (MAD)0
Skewness-0.9478310956
Sum-3928
Variance0.8499475905
MonotonicityNot monotonic
2022-07-26T03:01:29.236989image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
08274
68.5%
-22579
 
21.3%
11230
 
10.2%
ValueCountFrequency (%)
-22579
 
21.3%
08274
68.5%
11230
 
10.2%
ValueCountFrequency (%)
11230
 
10.2%
08274
68.5%
-22579
 
21.3%

VCR2
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3343540511
Minimum-2
Maximum1
Zeros8386
Zeros (%)69.4%
Negative2579
Negative (%)21.3%
Memory size94.5 KiB
2022-07-26T03:01:29.349465image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q10
median0
Q30
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9135450789
Coefficient of variation (CV)-2.732268611
Kurtosis-0.2067487889
Mean-0.3343540511
Median Absolute Deviation (MAD)0
Skewness-0.9715883068
Sum-4040
Variance0.8345646113
MonotonicityNot monotonic
2022-07-26T03:01:29.376636image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
08386
69.4%
-22579
 
21.3%
11118
 
9.3%
ValueCountFrequency (%)
-22579
 
21.3%
08386
69.4%
11118
 
9.3%
ValueCountFrequency (%)
11118
 
9.3%
08386
69.4%
-22579
 
21.3%

DVD2
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1867913598
Minimum-2
Maximum1
Zeros6603
Zeros (%)54.6%
Negative2579
Negative (%)21.3%
Memory size94.5 KiB
2022-07-26T03:01:29.406976image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q10
median0
Q30
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.029100335
Coefficient of variation (CV)-5.509357268
Kurtosis-0.517043163
Mean-0.1867913598
Median Absolute Deviation (MAD)0
Skewness-0.7961693546
Sum-2257
Variance1.0590475
MonotonicityNot monotonic
2022-07-26T03:01:29.434233image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
06603
54.6%
12901
24.0%
-22579
 
21.3%
ValueCountFrequency (%)
-22579
 
21.3%
06603
54.6%
12901
24.0%
ValueCountFrequency (%)
12901
24.0%
06603
54.6%
-22579
 
21.3%

TVAUDIOSYS2
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3910452702
Minimum-2
Maximum1
Zeros9071
Zeros (%)75.1%
Negative2579
Negative (%)21.3%
Memory size94.5 KiB
2022-07-26T03:01:29.464420image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q10
median0
Q30
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8583364867
Coefficient of variation (CV)-2.194979845
Kurtosis-0.08426633178
Mean-0.3910452702
Median Absolute Deviation (MAD)0
Skewness-1.182609975
Sum-4725
Variance0.7367415244
MonotonicityNot monotonic
2022-07-26T03:01:29.492268image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
09071
75.1%
-22579
 
21.3%
1433
 
3.6%
ValueCountFrequency (%)
-22579
 
21.3%
09071
75.1%
1433
 
3.6%
ValueCountFrequency (%)
1433
 
3.6%
09071
75.1%
-22579
 
21.3%

OTHERSTB2
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4185218903
Minimum-2
Maximum1
Zeros9403
Zeros (%)77.8%
Negative2579
Negative (%)21.3%
Memory size94.5 KiB
2022-07-26T03:01:29.522484image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q10
median0
Q30
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8288646571
Coefficient of variation (CV)-1.980457119
Kurtosis-0.04799108663
Mean-0.4185218903
Median Absolute Deviation (MAD)0
Skewness-1.340820731
Sum-5057
Variance0.6870166198
MonotonicityNot monotonic
2022-07-26T03:01:29.550557image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
09403
77.8%
-22579
 
21.3%
1101
 
0.8%
ValueCountFrequency (%)
-22579
 
21.3%
09403
77.8%
1101
 
0.8%
ValueCountFrequency (%)
1101
 
0.8%
09403
77.8%
-22579
 
21.3%

TVONWD2
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.238434164
Minimum-2
Maximum5
Zeros0
Zeros (%)0.0%
Negative2579
Negative (%)21.3%
Memory size94.5 KiB
2022-07-26T03:01:29.581232image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q11
median2
Q32
95-th percentile4
Maximum5
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.923811
Coefficient of variation (CV)1.553422101
Kurtosis-0.5242752375
Mean1.238434164
Median Absolute Deviation (MAD)1
Skewness-0.5137050925
Sum14964
Variance3.701048765
MonotonicityNot monotonic
2022-07-26T03:01:29.611387image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
23721
30.8%
12993
24.8%
-22579
21.3%
31836
15.2%
4591
 
4.9%
5363
 
3.0%
ValueCountFrequency (%)
-22579
21.3%
12993
24.8%
23721
30.8%
31836
15.2%
4591
 
4.9%
ValueCountFrequency (%)
5363
 
3.0%
4591
 
4.9%
31836
15.2%
23721
30.8%
12993
24.8%

TVONWDWATCH2
Real number (ℝ)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.41479765
Minimum-2
Maximum4
Zeros249
Zeros (%)2.1%
Negative10533
Negative (%)87.2%
Memory size94.5 KiB
2022-07-26T03:01:29.643985image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile4
Maximum4
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.615524189
Coefficient of variation (CV)-1.141876501
Kurtosis5.27009505
Mean-1.41479765
Median Absolute Deviation (MAD)0
Skewness2.614245357
Sum-17095
Variance2.609918406
MonotonicityNot monotonic
2022-07-26T03:01:29.672881image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-210533
87.2%
4619
 
5.1%
3281
 
2.3%
2251
 
2.1%
0249
 
2.1%
1150
 
1.2%
ValueCountFrequency (%)
-210533
87.2%
0249
 
2.1%
1150
 
1.2%
2251
 
2.1%
3281
 
2.3%
ValueCountFrequency (%)
4619
5.1%
3281
2.3%
2251
2.1%
1150
 
1.2%
0249
2.1%

TVONWE2
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.337333444
Minimum-2
Maximum5
Zeros0
Zeros (%)0.0%
Negative2579
Negative (%)21.3%
Memory size94.5 KiB
2022-07-26T03:01:29.704409image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q11
median2
Q33
95-th percentile4
Maximum5
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.005476463
Coefficient of variation (CV)1.499608398
Kurtosis-0.6081058332
Mean1.337333444
Median Absolute Deviation (MAD)1
Skewness-0.4686149252
Sum16159
Variance4.021935845
MonotonicityNot monotonic
2022-07-26T03:01:29.734814image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
23357
27.8%
12834
23.5%
-22579
21.3%
31982
16.4%
4832
 
6.9%
5499
 
4.1%
ValueCountFrequency (%)
-22579
21.3%
12834
23.5%
23357
27.8%
31982
16.4%
4832
 
6.9%
ValueCountFrequency (%)
5499
 
4.1%
4832
 
6.9%
31982
16.4%
23357
27.8%
12834
23.5%

TVONWEWATCH2
Real number (ℝ)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.409666474
Minimum-2
Maximum4
Zeros226
Zeros (%)1.9%
Negative10533
Negative (%)87.2%
Memory size94.5 KiB
2022-07-26T03:01:29.768070image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile3
Maximum4
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.622811413
Coefficient of variation (CV)-1.151202389
Kurtosis5.095381147
Mean-1.409666474
Median Absolute Deviation (MAD)0
Skewness2.58564337
Sum-17033
Variance2.633516881
MonotonicityNot monotonic
2022-07-26T03:01:29.797264image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-210533
87.2%
4597
 
4.9%
3332
 
2.7%
2254
 
2.1%
0226
 
1.9%
1141
 
1.2%
ValueCountFrequency (%)
-210533
87.2%
0226
 
1.9%
1141
 
1.2%
2254
 
2.1%
3332
 
2.7%
ValueCountFrequency (%)
4597
4.9%
3332
2.7%
2254
2.1%
1141
 
1.2%
0226
 
1.9%

TVSIZE3
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3485061657
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative6556
Negative (%)54.3%
Memory size94.5 KiB
2022-07-26T03:01:29.827805image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q31
95-th percentile2
Maximum3
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.852923542
Coefficient of variation (CV)-5.316759715
Kurtosis-1.629380837
Mean-0.3485061657
Median Absolute Deviation (MAD)0
Skewness0.3517806492
Sum-4211
Variance3.433325653
MonotonicityNot monotonic
2022-07-26T03:01:29.858689image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-26556
54.3%
12691
22.3%
22298
 
19.0%
3538
 
4.5%
ValueCountFrequency (%)
-26556
54.3%
12691
22.3%
22298
 
19.0%
3538
 
4.5%
ValueCountFrequency (%)
3538
 
4.5%
22298
 
19.0%
12691
22.3%
-26556
54.3%

TVTYPE3
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4546056443
Minimum-2
Maximum5
Zeros0
Zeros (%)0.0%
Negative6556
Negative (%)54.3%
Memory size94.5 KiB
2022-07-26T03:01:29.889435image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q31
95-th percentile2
Maximum5
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.746655972
Coefficient of variation (CV)-3.842134373
Kurtosis-1.267380752
Mean-0.4546056443
Median Absolute Deviation (MAD)0
Skewness0.4420994786
Sum-5493
Variance3.050807085
MonotonicityNot monotonic
2022-07-26T03:01:29.919315image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-26556
54.3%
13906
32.3%
21313
 
10.9%
3176
 
1.5%
4101
 
0.8%
531
 
0.3%
ValueCountFrequency (%)
-26556
54.3%
13906
32.3%
21313
 
10.9%
3176
 
1.5%
4101
 
0.8%
ValueCountFrequency (%)
531
 
0.3%
4101
 
0.8%
3176
 
1.5%
21313
 
10.9%
13906
32.3%

CABLESAT3
Real number (ℝ)

ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6968468096
Minimum-2
Maximum2
Zeros1976
Zeros (%)16.4%
Negative6556
Negative (%)54.3%
Memory size94.5 KiB
2022-07-26T03:01:29.951990image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q31
95-th percentile2
Maximum2
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.504024009
Coefficient of variation (CV)-2.15832804
Kurtosis-1.387188826
Mean-0.6968468096
Median Absolute Deviation (MAD)0
Skewness0.494278053
Sum-8420
Variance2.262088219
MonotonicityNot monotonic
2022-07-26T03:01:29.982631image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-26556
54.3%
12410
 
19.9%
01976
 
16.4%
21141
 
9.4%
ValueCountFrequency (%)
-26556
54.3%
01976
 
16.4%
12410
 
19.9%
21141
 
9.4%
ValueCountFrequency (%)
21141
 
9.4%
12410
 
19.9%
01976
 
16.4%
-26556
54.3%

COMBODVR3
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.37275511
Minimum-2
Maximum1
Zeros3074
Zeros (%)25.4%
Negative8532
Negative (%)70.6%
Memory size94.5 KiB
2022-07-26T03:01:30.015173image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q30
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9897300393
Coefficient of variation (CV)-0.7209807719
Kurtosis-0.6399062903
Mean-1.37275511
Median Absolute Deviation (MAD)0
Skewness1.043288845
Sum-16587
Variance0.9795655506
MonotonicityNot monotonic
2022-07-26T03:01:30.044727image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-28532
70.6%
03074
 
25.4%
1477
 
3.9%
ValueCountFrequency (%)
-28532
70.6%
03074
 
25.4%
1477
 
3.9%
ValueCountFrequency (%)
1477
 
3.9%
03074
 
25.4%
-28532
70.6%

DVR3
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.150045518
Minimum-2
Maximum1
Zeros4880
Zeros (%)40.4%
Negative7033
Negative (%)58.2%
Memory size94.5 KiB
2022-07-26T03:01:30.076744image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q30
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.009840978
Coefficient of variation (CV)-0.8780878338
Kurtosis-1.739458597
Mean-1.150045518
Median Absolute Deviation (MAD)0
Skewness0.3853596531
Sum-13896
Variance1.019778801
MonotonicityNot monotonic
2022-07-26T03:01:30.105569image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-27033
58.2%
04880
40.4%
1170
 
1.4%
ValueCountFrequency (%)
-27033
58.2%
04880
40.4%
1170
 
1.4%
ValueCountFrequency (%)
1170
 
1.4%
04880
40.4%
-27033
58.2%

DIGITSTB3
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.033931971
Minimum-2
Maximum1
Zeros4908
Zeros (%)40.6%
Negative6556
Negative (%)54.3%
Memory size94.5 KiB
2022-07-26T03:01:30.137027image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q30
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.073606545
Coefficient of variation (CV)-1.038372519
Kurtosis-1.634929362
Mean-1.033931971
Median Absolute Deviation (MAD)0
Skewness0.3158871431
Sum-12493
Variance1.152631012
MonotonicityNot monotonic
2022-07-26T03:01:30.165229image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-26556
54.3%
04908
40.6%
1619
 
5.1%
ValueCountFrequency (%)
-26556
54.3%
04908
40.6%
1619
 
5.1%
ValueCountFrequency (%)
1619
 
5.1%
04908
40.6%
-26556
54.3%

PLAYSTA3
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.015310767
Minimum-2
Maximum1
Zeros4683
Zeros (%)38.8%
Negative6556
Negative (%)54.3%
Memory size94.5 KiB
2022-07-26T03:01:30.196080image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q30
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.099734641
Coefficient of variation (CV)-1.083150772
Kurtosis-1.581860142
Mean-1.015310767
Median Absolute Deviation (MAD)0
Skewness0.345445119
Sum-12268
Variance1.209416281
MonotonicityNot monotonic
2022-07-26T03:01:30.224312image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-26556
54.3%
04683
38.8%
1844
 
7.0%
ValueCountFrequency (%)
-26556
54.3%
04683
38.8%
1844
 
7.0%
ValueCountFrequency (%)
1844
 
7.0%
04683
38.8%
-26556
54.3%

COMBOVCRDVD3
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.041628735
Minimum-2
Maximum1
Zeros5001
Zeros (%)41.4%
Negative6556
Negative (%)54.3%
Memory size94.5 KiB
2022-07-26T03:01:30.255253image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q30
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.062523971
Coefficient of variation (CV)-1.020060157
Kurtosis-1.665148593
Mean-1.041628735
Median Absolute Deviation (MAD)0
Skewness0.300702481
Sum-12586
Variance1.128957188
MonotonicityNot monotonic
2022-07-26T03:01:30.364360image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-26556
54.3%
05001
41.4%
1526
 
4.4%
ValueCountFrequency (%)
-26556
54.3%
05001
41.4%
1526
 
4.4%
ValueCountFrequency (%)
1526
 
4.4%
05001
41.4%
-26556
54.3%

VCR3
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.03939419
Minimum-2
Maximum1
Zeros4974
Zeros (%)41.2%
Negative6556
Negative (%)54.3%
Memory size94.5 KiB
2022-07-26T03:01:30.395051image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q30
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.065759091
Coefficient of variation (CV)-1.025365642
Kurtosis-1.655809581
Mean-1.03939419
Median Absolute Deviation (MAD)0
Skewness0.305307349
Sum-12559
Variance1.13584244
MonotonicityNot monotonic
2022-07-26T03:01:30.423466image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-26556
54.3%
04974
41.2%
1553
 
4.6%
ValueCountFrequency (%)
-26556
54.3%
04974
41.2%
1553
 
4.6%
ValueCountFrequency (%)
1553
 
4.6%
04974
41.2%
-26556
54.3%

DVD3
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9701233137
Minimum-2
Maximum1
Zeros4137
Zeros (%)34.2%
Negative6556
Negative (%)54.3%
Memory size94.5 KiB
2022-07-26T03:01:30.454183image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q30
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.159453151
Coefficient of variation (CV)-1.195160589
Kurtosis-1.535382639
Mean-0.9701233137
Median Absolute Deviation (MAD)0
Skewness0.3847734233
Sum-11722
Variance1.34433161
MonotonicityNot monotonic
2022-07-26T03:01:30.482479image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-26556
54.3%
04137
34.2%
11390
 
11.5%
ValueCountFrequency (%)
-26556
54.3%
04137
34.2%
11390
 
11.5%
ValueCountFrequency (%)
11390
 
11.5%
04137
34.2%
-26556
54.3%

TVAUDIOSYS3
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.068443267
Minimum-2
Maximum1
Zeros5325
Zeros (%)44.1%
Negative6556
Negative (%)54.3%
Memory size94.5 KiB
2022-07-26T03:01:30.513349image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q30
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.022523916
Coefficient of variation (CV)-0.9570221899
Kurtosis-1.82099437
Mean-1.068443267
Median Absolute Deviation (MAD)0
Skewness0.2309508422
Sum-12910
Variance1.045555158
MonotonicityNot monotonic
2022-07-26T03:01:30.541296image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-26556
54.3%
05325
44.1%
1202
 
1.7%
ValueCountFrequency (%)
-26556
54.3%
05325
44.1%
1202
 
1.7%
ValueCountFrequency (%)
1202
 
1.7%
05325
44.1%
-26556
54.3%

OTHERSTB3
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.081602251
Minimum-2
Maximum1
Zeros5484
Zeros (%)45.4%
Negative6556
Negative (%)54.3%
Memory size94.5 KiB
2022-07-26T03:01:30.572318image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q30
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.002048067
Coefficient of variation (CV)-0.9264478383
Kurtosis-1.934919293
Mean-1.081602251
Median Absolute Deviation (MAD)0
Skewness0.1849909029
Sum-13069
Variance1.004100329
MonotonicityNot monotonic
2022-07-26T03:01:30.600283image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-26556
54.3%
05484
45.4%
143
 
0.4%
ValueCountFrequency (%)
-26556
54.3%
05484
45.4%
143
 
0.4%
ValueCountFrequency (%)
143
 
0.4%
05484
45.4%
-26556
54.3%

TVONWD3
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2859389225
Minimum-2
Maximum5
Zeros0
Zeros (%)0.0%
Negative6556
Negative (%)54.3%
Memory size94.5 KiB
2022-07-26T03:01:30.631769image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q31
95-th percentile3
Maximum5
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.973317312
Coefficient of variation (CV)-6.901184683
Kurtosis-1.10594879
Mean-0.2859389225
Median Absolute Deviation (MAD)0
Skewness0.5389290965
Sum-3455
Variance3.893981214
MonotonicityNot monotonic
2022-07-26T03:01:30.661287image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-26556
54.3%
12791
23.1%
21776
 
14.7%
3645
 
5.3%
4196
 
1.6%
5119
 
1.0%
ValueCountFrequency (%)
-26556
54.3%
12791
23.1%
21776
 
14.7%
3645
 
5.3%
4196
 
1.6%
ValueCountFrequency (%)
5119
 
1.0%
4196
 
1.6%
3645
 
5.3%
21776
14.7%
12791
23.1%

TVONWDWATCH3
Real number (ℝ)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.689067285
Minimum-2
Maximum4
Zeros134
Zeros (%)1.1%
Negative11239
Negative (%)93.0%
Memory size94.5 KiB
2022-07-26T03:01:30.693631image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile1
Maximum4
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.201886511
Coefficient of variation (CV)-0.7115681668
Kurtosis14.11074651
Mean-1.689067285
Median Absolute Deviation (MAD)0
Skewness3.908283179
Sum-20409
Variance1.444531186
MonotonicityNot monotonic
2022-07-26T03:01:30.722155image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-211239
93.0%
4317
 
2.6%
3140
 
1.2%
0134
 
1.1%
2128
 
1.1%
1125
 
1.0%
ValueCountFrequency (%)
-211239
93.0%
0134
 
1.1%
1125
 
1.0%
2128
 
1.1%
3140
 
1.2%
ValueCountFrequency (%)
4317
2.6%
3140
1.2%
2128
1.1%
1125
 
1.0%
0134
1.1%

TVONWE3
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2326409004
Minimum-2
Maximum5
Zeros0
Zeros (%)0.0%
Negative6556
Negative (%)54.3%
Memory size94.5 KiB
2022-07-26T03:01:30.754165image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q31
95-th percentile3
Maximum5
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.048797323
Coefficient of variation (CV)-8.806694434
Kurtosis-1.048873587
Mean-0.2326409004
Median Absolute Deviation (MAD)0
Skewness0.5737959894
Sum-2811
Variance4.197570471
MonotonicityNot monotonic
2022-07-26T03:01:30.783563image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-26556
54.3%
12603
 
21.5%
21705
 
14.1%
3755
 
6.2%
4297
 
2.5%
5167
 
1.4%
ValueCountFrequency (%)
-26556
54.3%
12603
 
21.5%
21705
 
14.1%
3755
 
6.2%
4297
 
2.5%
ValueCountFrequency (%)
5167
 
1.4%
4297
 
2.5%
3755
 
6.2%
21705
14.1%
12603
21.5%

TVONWEWATCH3
Real number (ℝ)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.692543243
Minimum-2
Maximum4
Zeros129
Zeros (%)1.1%
Negative11239
Negative (%)93.0%
Memory size94.5 KiB
2022-07-26T03:01:30.814996image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile1
Maximum4
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.187335859
Coefficient of variation (CV)-0.7015099106
Kurtosis14.1491964
Mean-1.692543243
Median Absolute Deviation (MAD)0
Skewness3.908312826
Sum-20451
Variance1.409766441
MonotonicityNot monotonic
2022-07-26T03:01:30.843240image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-211239
93.0%
4288
 
2.4%
3156
 
1.3%
2136
 
1.1%
1135
 
1.1%
0129
 
1.1%
ValueCountFrequency (%)
-211239
93.0%
0129
 
1.1%
1135
 
1.1%
2136
 
1.1%
3156
 
1.3%
ValueCountFrequency (%)
4288
2.4%
3156
1.3%
2136
1.1%
1135
1.1%
0129
1.1%

COMPUTER
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7836629976
Minimum0
Maximum1
Zeros2614
Zeros (%)21.6%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:30.873809image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4117636893
Coefficient of variation (CV)0.5254346455
Kurtosis-0.1010688251
Mean0.7836629976
Median Absolute Deviation (MAD)0
Skewness-1.378023197
Sum9469
Variance0.1695493358
MonotonicityNot monotonic
2022-07-26T03:01:30.902231image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
19469
78.4%
02614
 
21.6%
ValueCountFrequency (%)
02614
 
21.6%
19469
78.4%
ValueCountFrequency (%)
19469
78.4%
02614
 
21.6%

NUMPC
Real number (ℝ≥0)

ZEROS

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.386741703
Minimum0
Maximum15
Zeros2614
Zeros (%)21.6%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:30.932280image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4
Maximum15
Range15
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.191752684
Coefficient of variation (CV)0.8593905276
Kurtosis4.540729142
Mean1.386741703
Median Absolute Deviation (MAD)1
Skewness1.440855444
Sum16756
Variance1.42027446
MonotonicityNot monotonic
2022-07-26T03:01:30.965026image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
14979
41.2%
22738
22.7%
02614
21.6%
31099
 
9.1%
4420
 
3.5%
5142
 
1.2%
658
 
0.5%
815
 
0.1%
712
 
0.1%
93
 
< 0.1%
Other values (2)3
 
< 0.1%
ValueCountFrequency (%)
02614
21.6%
14979
41.2%
22738
22.7%
31099
 
9.1%
4420
 
3.5%
ValueCountFrequency (%)
151
 
< 0.1%
102
 
< 0.1%
93
 
< 0.1%
815
0.1%
712
0.1%

PCTYPE1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6999917239
Minimum-2
Maximum2
Zeros0
Zeros (%)0.0%
Negative2614
Negative (%)21.6%
Memory size94.5 KiB
2022-07-26T03:01:30.997856image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q11
median1
Q32
95-th percentile2
Maximum2
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.485332749
Coefficient of variation (CV)2.121929015
Kurtosis-0.4317085891
Mean0.6999917239
Median Absolute Deviation (MAD)1
Skewness-1.062104717
Sum8458
Variance2.206213375
MonotonicityNot monotonic
2022-07-26T03:01:31.026486image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
15252
43.5%
24217
34.9%
-22614
21.6%
ValueCountFrequency (%)
-22614
21.6%
15252
43.5%
24217
34.9%
ValueCountFrequency (%)
24217
34.9%
15252
43.5%
-22614
21.6%

MONITOR1
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7835802367
Minimum-2
Maximum1
Zeros1058
Zeros (%)8.8%
Negative6831
Negative (%)56.5%
Memory size94.5 KiB
2022-07-26T03:01:31.057830image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q31
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.412312024
Coefficient of variation (CV)-1.802383417
Kurtosis-1.7977565
Mean-0.7835802367
Median Absolute Deviation (MAD)0
Skewness0.3529257669
Sum-9468
Variance1.994625254
MonotonicityNot monotonic
2022-07-26T03:01:31.088835image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-26831
56.5%
14194
34.7%
01058
 
8.8%
ValueCountFrequency (%)
-26831
56.5%
01058
 
8.8%
14194
34.7%
ValueCountFrequency (%)
14194
34.7%
01058
 
8.8%
-26831
56.5%

TIMEON1
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.642638418
Minimum-2
Maximum5
Zeros0
Zeros (%)0.0%
Negative2614
Negative (%)21.6%
Memory size94.5 KiB
2022-07-26T03:01:31.123132image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q11
median2
Q33
95-th percentile5
Maximum5
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.228335392
Coefficient of variation (CV)1.356558673
Kurtosis-0.7473928841
Mean1.642638418
Median Absolute Deviation (MAD)1
Skewness-0.4314388958
Sum19848
Variance4.96547862
MonotonicityNot monotonic
2022-07-26T03:01:31.154668image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
23504
29.0%
-22614
21.6%
31960
16.2%
11741
14.4%
51391
 
11.5%
4873
 
7.2%
ValueCountFrequency (%)
-22614
21.6%
11741
14.4%
23504
29.0%
31960
16.2%
4873
 
7.2%
ValueCountFrequency (%)
51391
 
11.5%
4873
 
7.2%
31960
16.2%
23504
29.0%
11741
14.4%

PCONOFF1
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02375237938
Minimum-2
Maximum1
Zeros3954
Zeros (%)32.7%
Negative2614
Negative (%)21.6%
Memory size94.5 KiB
2022-07-26T03:01:31.189053image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q10
median0
Q31
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.149486656
Coefficient of variation (CV)48.39458976
Kurtosis-0.6834665281
Mean0.02375237938
Median Absolute Deviation (MAD)1
Skewness-0.9011938216
Sum287
Variance1.321319572
MonotonicityNot monotonic
2022-07-26T03:01:31.217842image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
15515
45.6%
03954
32.7%
-22614
21.6%
ValueCountFrequency (%)
-22614
21.6%
03954
32.7%
15515
45.6%
ValueCountFrequency (%)
15515
45.6%
03954
32.7%
-22614
21.6%

PCSLEEP1
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.048249607
Minimum-2
Maximum1
Zeros362
Zeros (%)3.0%
Negative8129
Negative (%)67.3%
Memory size94.5 KiB
2022-07-26T03:01:31.249495image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q31
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.374648997
Coefficient of variation (CV)-1.311375638
Kurtosis-1.369780456
Mean-1.048249607
Median Absolute Deviation (MAD)0
Skewness0.7736038241
Sum-12666
Variance1.889659864
MonotonicityNot monotonic
2022-07-26T03:01:31.369512image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-28129
67.3%
13592
29.7%
0362
 
3.0%
ValueCountFrequency (%)
-28129
67.3%
0362
 
3.0%
13592
29.7%
ValueCountFrequency (%)
13592
29.7%
0362
 
3.0%
-28129
67.3%

PCTYPE2
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6605975337
Minimum-2
Maximum2
Zeros0
Zeros (%)0.0%
Negative7593
Negative (%)62.8%
Memory size94.5 KiB
2022-07-26T03:01:31.403568image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q31
95-th percentile2
Maximum2
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.767178333
Coefficient of variation (CV)-2.675120996
Kurtosis-1.523841962
Mean-0.6605975337
Median Absolute Deviation (MAD)0
Skewness0.6150383453
Sum-7982
Variance3.122919259
MonotonicityNot monotonic
2022-07-26T03:01:31.435617image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-27593
62.8%
22714
 
22.5%
11776
 
14.7%
ValueCountFrequency (%)
-27593
62.8%
11776
 
14.7%
22714
 
22.5%
ValueCountFrequency (%)
22714
 
22.5%
11776
 
14.7%
-27593
62.8%

MONITOR2
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.595712985
Minimum-2
Maximum1
Zeros443
Zeros (%)3.7%
Negative10307
Negative (%)85.3%
Memory size94.5 KiB
2022-07-26T03:01:31.469937image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9880119847
Coefficient of variation (CV)-0.6191664753
Kurtosis2.531565044
Mean-1.595712985
Median Absolute Deviation (MAD)0
Skewness2.097034123
Sum-19281
Variance0.9761676819
MonotonicityNot monotonic
2022-07-26T03:01:31.499421image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-210307
85.3%
11333
 
11.0%
0443
 
3.7%
ValueCountFrequency (%)
-210307
85.3%
0443
 
3.7%
11333
 
11.0%
ValueCountFrequency (%)
11333
 
11.0%
0443
 
3.7%
-210307
85.3%

TIMEON2
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4116527352
Minimum-2
Maximum5
Zeros0
Zeros (%)0.0%
Negative7593
Negative (%)62.8%
Memory size94.5 KiB
2022-07-26T03:01:31.532858image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q31
95-th percentile4
Maximum5
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.211810844
Coefficient of variation (CV)-5.373001694
Kurtosis-0.4386096392
Mean-0.4116527352
Median Absolute Deviation (MAD)0
Skewness0.9672271618
Sum-4974
Variance4.892107209
MonotonicityNot monotonic
2022-07-26T03:01:31.564776image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-27593
62.8%
21537
 
12.7%
11511
 
12.5%
3660
 
5.5%
5519
 
4.3%
4263
 
2.2%
ValueCountFrequency (%)
-27593
62.8%
11511
 
12.5%
21537
 
12.7%
3660
 
5.5%
4263
 
2.2%
ValueCountFrequency (%)
5519
 
4.3%
4263
 
2.2%
3660
5.5%
21537
12.7%
11511
12.5%

PCONOFF2
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9958619548
Minimum-2
Maximum1
Zeros1337
Zeros (%)11.1%
Negative7593
Negative (%)62.8%
Memory size94.5 KiB
2022-07-26T03:01:31.598617image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q31
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.335277434
Coefficient of variation (CV)-1.340825832
Kurtosis-1.46212916
Mean-0.9958619548
Median Absolute Deviation (MAD)0
Skewness0.650239764
Sum-12033
Variance1.782965825
MonotonicityNot monotonic
2022-07-26T03:01:31.628696image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-27593
62.8%
13153
26.1%
01337
 
11.1%
ValueCountFrequency (%)
-27593
62.8%
01337
 
11.1%
13153
26.1%
ValueCountFrequency (%)
13153
26.1%
01337
 
11.1%
-27593
62.8%

PCSLEEP2
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.679218737
Minimum-2
Maximum1
Zeros135
Zeros (%)1.1%
Negative10746
Negative (%)88.9%
Memory size94.5 KiB
2022-07-26T03:01:31.661787image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9149683114
Coefficient of variation (CV)-0.5448773833
Kurtosis4.457483097
Mean-1.679218737
Median Absolute Deviation (MAD)0
Skewness2.52904443
Sum-20290
Variance0.8371670108
MonotonicityNot monotonic
2022-07-26T03:01:31.691095image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-210746
88.9%
11202
 
9.9%
0135
 
1.1%
ValueCountFrequency (%)
-210746
88.9%
0135
 
1.1%
11202
 
9.9%
ValueCountFrequency (%)
11202
 
9.9%
0135
 
1.1%
-210746
88.9%

PCTYPE3
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.477613176
Minimum-2
Maximum2
Zeros0
Zeros (%)0.0%
Negative10331
Negative (%)85.5%
Memory size94.5 KiB
2022-07-26T03:01:31.723835image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile2
Maximum2
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.282181966
Coefficient of variation (CV)-0.8677385851
Kurtosis2.558637041
Mean-1.477613176
Median Absolute Deviation (MAD)0
Skewness2.102058566
Sum-17854
Variance1.643990595
MonotonicityNot monotonic
2022-07-26T03:01:31.755483image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-210331
85.5%
21056
 
8.7%
1696
 
5.8%
ValueCountFrequency (%)
-210331
85.5%
1696
 
5.8%
21056
 
8.7%
ValueCountFrequency (%)
21056
 
8.7%
1696
 
5.8%
-210331
85.5%

MONITOR3
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.843168087
Minimum-2
Maximum1
Zeros193
Zeros (%)1.6%
Negative11387
Negative (%)94.2%
Memory size94.5 KiB
2022-07-26T03:01:31.789348image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6434190253
Coefficient of variation (CV)-0.3490832061
Kurtosis13.95990222
Mean-1.843168087
Median Absolute Deviation (MAD)0
Skewness3.954679576
Sum-22271
Variance0.4139880422
MonotonicityNot monotonic
2022-07-26T03:01:31.818660image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-211387
94.2%
1503
 
4.2%
0193
 
1.6%
ValueCountFrequency (%)
-211387
94.2%
0193
 
1.6%
1503
 
4.2%
ValueCountFrequency (%)
1503
 
4.2%
0193
 
1.6%
-211387
94.2%

TIMEON3
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.417859803
Minimum-2
Maximum5
Zeros0
Zeros (%)0.0%
Negative10331
Negative (%)85.5%
Memory size94.5 KiB
2022-07-26T03:01:31.851755image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile2
Maximum5
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.491664914
Coefficient of variation (CV)-1.052053885
Kurtosis5.557096494
Mean-1.417859803
Median Absolute Deviation (MAD)0
Skewness2.526076889
Sum-17132
Variance2.225064216
MonotonicityNot monotonic
2022-07-26T03:01:31.882362image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-210331
85.5%
1795
 
6.6%
2532
 
4.4%
3194
 
1.6%
5165
 
1.4%
466
 
0.5%
ValueCountFrequency (%)
-210331
85.5%
1795
 
6.6%
2532
 
4.4%
3194
 
1.6%
466
 
0.5%
ValueCountFrequency (%)
5165
 
1.4%
466
 
0.5%
3194
 
1.6%
2532
4.4%
1795
6.6%

PCONOFF3
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.602002814
Minimum-2
Maximum1
Zeros447
Zeros (%)3.7%
Negative10331
Negative (%)85.5%
Memory size94.5 KiB
2022-07-26T03:01:31.915418image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.980653425
Coefficient of variation (CV)-0.6121421364
Kurtosis2.642275997
Mean-1.602002814
Median Absolute Deviation (MAD)0
Skewness2.122143839
Sum-19357
Variance0.9616811399
MonotonicityNot monotonic
2022-07-26T03:01:31.944852image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-210331
85.5%
11305
 
10.8%
0447
 
3.7%
ValueCountFrequency (%)
-210331
85.5%
0447
 
3.7%
11305
 
10.8%
ValueCountFrequency (%)
11305
 
10.8%
0447
 
3.7%
-210331
85.5%

PCSLEEP3
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.892659108
Minimum-2
Maximum1
Zeros44
Zeros (%)0.4%
Negative11636
Negative (%)96.3%
Memory size94.5 KiB
2022-07-26T03:01:31.977361image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5506748101
Coefficient of variation (CV)-0.2909529813
Kurtosis22.91823046
Mean-1.892659108
Median Absolute Deviation (MAD)0
Skewness4.976280238
Sum-22869
Variance0.3032427465
MonotonicityNot monotonic
2022-07-26T03:01:32.006795image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-211636
96.3%
1403
 
3.3%
044
 
0.4%
ValueCountFrequency (%)
-211636
96.3%
044
 
0.4%
1403
 
3.3%
ValueCountFrequency (%)
1403
 
3.3%
044
 
0.4%
-211636
96.3%

INTERNET
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3077050401
Minimum-2
Maximum1
Zeros523
Zeros (%)4.3%
Negative2614
Negative (%)21.6%
Memory size94.5 KiB
2022-07-26T03:01:32.039081image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q10
median1
Q31
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.229296436
Coefficient of variation (CV)3.995048101
Kurtosis-0.2377637326
Mean0.3077050401
Median Absolute Deviation (MAD)0
Skewness-1.299968088
Sum3718
Variance1.511169729
MonotonicityNot monotonic
2022-07-26T03:01:32.068324image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
18946
74.0%
-22614
 
21.6%
0523
 
4.3%
ValueCountFrequency (%)
-22614
 
21.6%
0523
 
4.3%
18946
74.0%
ValueCountFrequency (%)
18946
74.0%
0523
 
4.3%
-22614
 
21.6%

INDIALUP
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4709095423
Minimum-2
Maximum1
Zeros8362
Zeros (%)69.2%
Negative3137
Negative (%)26.0%
Memory size94.5 KiB
2022-07-26T03:01:32.100941image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median0
Q30
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9301247175
Coefficient of variation (CV)-1.975166426
Kurtosis-0.7553866603
Mean-0.4709095423
Median Absolute Deviation (MAD)0
Skewness-0.8727526024
Sum-5690
Variance0.8651319901
MonotonicityNot monotonic
2022-07-26T03:01:32.130159image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
08362
69.2%
-23137
 
26.0%
1584
 
4.8%
ValueCountFrequency (%)
-23137
 
26.0%
08362
69.2%
1584
 
4.8%
ValueCountFrequency (%)
1584
 
4.8%
08362
69.2%
-23137
 
26.0%

INDSL
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2102954564
Minimum-2
Maximum1
Zeros5213
Zeros (%)43.1%
Negative3137
Negative (%)26.0%
Memory size94.5 KiB
2022-07-26T03:01:32.162259image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median0
Q31
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.141627767
Coefficient of variation (CV)-5.428684891
Kurtosis-1.040780405
Mean-0.2102954564
Median Absolute Deviation (MAD)1
Skewness-0.6295981111
Sum-2541
Variance1.303313958
MonotonicityNot monotonic
2022-07-26T03:01:32.190779image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
05213
43.1%
13733
30.9%
-23137
26.0%
ValueCountFrequency (%)
-23137
26.0%
05213
43.1%
13733
30.9%
ValueCountFrequency (%)
13733
30.9%
05213
43.1%
-23137
26.0%

INCABLE
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1829843582
Minimum-2
Maximum1
Zeros4883
Zeros (%)40.4%
Negative3137
Negative (%)26.0%
Memory size94.5 KiB
2022-07-26T03:01:32.222336image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median0
Q31
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.158174905
Coefficient of variation (CV)-6.329365614
Kurtosis-1.060545146
Mean-0.1829843582
Median Absolute Deviation (MAD)1
Skewness-0.6427535165
Sum-2211
Variance1.34136911
MonotonicityNot monotonic
2022-07-26T03:01:32.249885image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
04883
40.4%
14063
33.6%
-23137
26.0%
ValueCountFrequency (%)
-23137
26.0%
04883
40.4%
14063
33.6%
ValueCountFrequency (%)
14063
33.6%
04883
40.4%
-23137
26.0%

INSATEL
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4957378135
Minimum-2
Maximum1
Zeros8662
Zeros (%)71.7%
Negative3137
Negative (%)26.0%
Memory size94.5 KiB
2022-07-26T03:01:32.279508image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median0
Q30
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9034929413
Coefficient of variation (CV)-1.822521738
Kurtosis-0.7629605402
Mean-0.4957378135
Median Absolute Deviation (MAD)0
Skewness-0.9733964194
Sum-5990
Variance0.8162994949
MonotonicityNot monotonic
2022-07-26T03:01:32.306220image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
08662
71.7%
-23137
 
26.0%
1284
 
2.4%
ValueCountFrequency (%)
-23137
 
26.0%
08662
71.7%
1284
 
2.4%
ValueCountFrequency (%)
1284
 
2.4%
08662
71.7%
-23137
 
26.0%

INWIRELESS
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03566994952
Minimum-2
Maximum1
Zeros3103
Zeros (%)25.7%
Negative3137
Negative (%)26.0%
Memory size94.5 KiB
2022-07-26T03:01:32.412980image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median0
Q31
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.233251518
Coefficient of variation (CV)-34.5739631
Kurtosis-1.088067466
Mean-0.03566994952
Median Absolute Deviation (MAD)1
Skewness-0.7629122137
Sum-431
Variance1.520909307
MonotonicityNot monotonic
2022-07-26T03:01:32.439578image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
15843
48.4%
-23137
26.0%
03103
25.7%
ValueCountFrequency (%)
-23137
26.0%
03103
25.7%
15843
48.4%
ValueCountFrequency (%)
15843
48.4%
03103
25.7%
-23137
26.0%

PCPRINT
Real number (ℝ)

ZEROS

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3045601258
Minimum-2
Maximum6
Zeros1916
Zeros (%)15.9%
Negative2614
Negative (%)21.6%
Memory size94.5 KiB
2022-07-26T03:01:32.470481image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q10
median1
Q31
95-th percentile2
Maximum6
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.333584953
Coefficient of variation (CV)4.378724726
Kurtosis-0.4007860245
Mean0.3045601258
Median Absolute Deviation (MAD)0
Skewness-0.7088164352
Sum3680
Variance1.778448828
MonotonicityNot monotonic
2022-07-26T03:01:32.501455image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
16417
53.1%
-22614
21.6%
01916
 
15.9%
2958
 
7.9%
3143
 
1.2%
430
 
0.2%
54
 
< 0.1%
61
 
< 0.1%
ValueCountFrequency (%)
-22614
21.6%
01916
 
15.9%
16417
53.1%
2958
 
7.9%
3143
 
1.2%
ValueCountFrequency (%)
61
 
< 0.1%
54
 
< 0.1%
430
 
0.2%
3143
 
1.2%
2958
7.9%

FAX
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09203012497
Minimum0
Maximum1
Zeros10971
Zeros (%)90.8%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:32.533696image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2890804338
Coefficient of variation (CV)3.141150073
Kurtosis5.970332109
Mean0.09203012497
Median Absolute Deviation (MAD)0
Skewness2.823002642
Sum1112
Variance0.08356749719
MonotonicityNot monotonic
2022-07-26T03:01:32.562471image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
010971
90.8%
11112
 
9.2%
ValueCountFrequency (%)
010971
90.8%
11112
 
9.2%
ValueCountFrequency (%)
11112
 
9.2%
010971
90.8%

COPIER
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08640238351
Minimum0
Maximum1
Zeros11039
Zeros (%)91.4%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:32.591807image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2809689397
Coefficient of variation (CV)3.251865611
Kurtosis6.67158551
Mean0.08640238351
Median Absolute Deviation (MAD)0
Skewness2.944568091
Sum1044
Variance0.07894354508
MonotonicityNot monotonic
2022-07-26T03:01:32.620497image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
011039
91.4%
11044
 
8.6%
ValueCountFrequency (%)
011039
91.4%
11044
 
8.6%
ValueCountFrequency (%)
11044
 
8.6%
011039
91.4%

WELLPUMP
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3561201688
Minimum-2
Maximum1
Zeros7839
Zeros (%)64.9%
Negative2849
Negative (%)23.6%
Memory size94.5 KiB
2022-07-26T03:01:32.649072image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q10
median0
Q30
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9653239176
Coefficient of variation (CV)-2.710669044
Kurtosis-0.554713389
Mean-0.3561201688
Median Absolute Deviation (MAD)0
Skewness-0.8119541001
Sum-4303
Variance0.931850266
MonotonicityNot monotonic
2022-07-26T03:01:32.675666image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
07839
64.9%
-22849
 
23.6%
11395
 
11.5%
ValueCountFrequency (%)
-22849
 
23.6%
07839
64.9%
11395
 
11.5%
ValueCountFrequency (%)
11395
 
11.5%
07839
64.9%
-22849
 
23.6%

DIPSTICK
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.394107424
Minimum-2
Maximum1
Zeros3464
Zeros (%)28.7%
Negative8488
Negative (%)70.2%
Memory size94.5 KiB
2022-07-26T03:01:32.704991image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q30
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9366306519
Coefficient of variation (CV)-0.6718496982
Kurtosis-1.00670937
Mean-1.394107424
Median Absolute Deviation (MAD)0
Skewness0.9364725411
Sum-16845
Variance0.877276978
MonotonicityNot monotonic
2022-07-26T03:01:32.733193image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-28488
70.2%
03464
28.7%
1131
 
1.1%
ValueCountFrequency (%)
-28488
70.2%
03464
28.7%
1131
 
1.1%
ValueCountFrequency (%)
1131
 
1.1%
03464
28.7%
-28488
70.2%

SWAMPCOL
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.154928412
Minimum-2
Maximum1
Zeros4651
Zeros (%)38.5%
Negative7129
Negative (%)59.0%
Memory size94.5 KiB
2022-07-26T03:01:32.765204image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q30
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.025335972
Coefficient of variation (CV)-0.887791799
Kurtosis-1.61882126
Mean-1.154928412
Median Absolute Deviation (MAD)0
Skewness0.4526791895
Sum-13955
Variance1.051313856
MonotonicityNot monotonic
2022-07-26T03:01:32.793547image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-27129
59.0%
04651
38.5%
1303
 
2.5%
ValueCountFrequency (%)
-27129
59.0%
04651
38.5%
1303
 
2.5%
ValueCountFrequency (%)
1303
 
2.5%
04651
38.5%
-27129
59.0%

AQUARIUM
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03815277663
Minimum0
Maximum1
Zeros11622
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:32.828167image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1915729094
Coefficient of variation (CV)5.021204911
Kurtosis21.25937103
Mean0.03815277663
Median Absolute Deviation (MAD)0
Skewness4.822432184
Sum461
Variance0.0367001796
MonotonicityNot monotonic
2022-07-26T03:01:32.859554image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
011622
96.2%
1461
 
3.8%
ValueCountFrequency (%)
011622
96.2%
1461
 
3.8%
ValueCountFrequency (%)
1461
 
3.8%
011622
96.2%

STEREO
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4313498303
Minimum0
Maximum1
Zeros6871
Zeros (%)56.9%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:32.889275image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.495285227
Coefficient of variation (CV)1.14822168
Kurtosis-1.92344497
Mean0.4313498303
Median Absolute Deviation (MAD)0
Skewness0.27726058
Sum5212
Variance0.2453074561
MonotonicityNot monotonic
2022-07-26T03:01:32.918896image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
06871
56.9%
15212
43.1%
ValueCountFrequency (%)
06871
56.9%
15212
43.1%
ValueCountFrequency (%)
15212
43.1%
06871
56.9%

NOCORD
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6337830009
Minimum0
Maximum1
Zeros4425
Zeros (%)36.6%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:32.949541image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4817897044
Coefficient of variation (CV)0.7601808563
Kurtosis-1.691754873
Mean0.6337830009
Median Absolute Deviation (MAD)0
Skewness-0.5554504273
Sum7658
Variance0.2321213192
MonotonicityNot monotonic
2022-07-26T03:01:32.979707image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
17658
63.4%
04425
36.6%
ValueCountFrequency (%)
04425
36.6%
17658
63.4%
ValueCountFrequency (%)
17658
63.4%
04425
36.6%

ANSMACH
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.468592237
Minimum0
Maximum1
Zeros6421
Zeros (%)53.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:33.011353image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4990332281
Coefficient of variation (CV)1.064962645
Kurtosis-1.984478882
Mean0.468592237
Median Absolute Deviation (MAD)0
Skewness0.125895274
Sum5662
Variance0.2490341627
MonotonicityNot monotonic
2022-07-26T03:01:33.043245image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
06421
53.1%
15662
46.9%
ValueCountFrequency (%)
06421
53.1%
15662
46.9%
ValueCountFrequency (%)
15662
46.9%
06421
53.1%

BATTOOLS
Real number (ℝ≥0)

ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8628651825
Minimum0
Maximum3
Zeros4459
Zeros (%)36.9%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:33.074724image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8242199267
Coefficient of variation (CV)0.9552128692
Kurtosis0.1287564846
Mean0.8628651825
Median Absolute Deviation (MAD)1
Skewness0.7795627722
Sum10426
Variance0.6793384876
MonotonicityNot monotonic
2022-07-26T03:01:33.103249image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
15409
44.8%
04459
36.9%
21628
 
13.5%
3587
 
4.9%
ValueCountFrequency (%)
04459
36.9%
15409
44.8%
21628
 
13.5%
3587
 
4.9%
ValueCountFrequency (%)
3587
 
4.9%
21628
 
13.5%
15409
44.8%
04459
36.9%

BATCHRG
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.546884052
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative4459
Negative (%)36.9%
Memory size94.5 KiB
2022-07-26T03:01:33.133972image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median2
Q32
95-th percentile3
Maximum3
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.9882162
Coefficient of variation (CV)3.635535161
Kurtosis-1.659904311
Mean0.546884052
Median Absolute Deviation (MAD)1
Skewness-0.4194165915
Sum6608
Variance3.953003657
MonotonicityNot monotonic
2022-07-26T03:01:33.164685image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
25694
47.1%
-24459
36.9%
31104
 
9.1%
1826
 
6.8%
ValueCountFrequency (%)
-24459
36.9%
1826
 
6.8%
25694
47.1%
31104
 
9.1%
ValueCountFrequency (%)
31104
 
9.1%
25694
47.1%
1826
 
6.8%
-24459
36.9%

CHRGPLGT
Real number (ℝ)

ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.663825209
Minimum-2
Maximum2
Zeros5051
Zeros (%)41.8%
Negative5285
Negative (%)43.7%
Memory size94.5 KiB
2022-07-26T03:01:33.197652image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median0
Q30
95-th percentile2
Maximum2
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.285591075
Coefficient of variation (CV)-1.936640938
Kurtosis-1.016537065
Mean-0.663825209
Median Absolute Deviation (MAD)2
Skewness0.3265771363
Sum-8021
Variance1.652744413
MonotonicityNot monotonic
2022-07-26T03:01:33.227256image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-25285
43.7%
05051
41.8%
1945
 
7.8%
2802
 
6.6%
ValueCountFrequency (%)
-25285
43.7%
05051
41.8%
1945
 
7.8%
2802
 
6.6%
ValueCountFrequency (%)
2802
 
6.6%
1945
 
7.8%
05051
41.8%
-25285
43.7%

ELECDEV
Real number (ℝ≥0)

ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.402383514
Minimum0
Maximum3
Zeros1073
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:33.259189image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7547022682
Coefficient of variation (CV)0.5381568313
Kurtosis-0.2461079088
Mean1.402383514
Median Absolute Deviation (MAD)1
Skewness0.2421935862
Sum16945
Variance0.5695755136
MonotonicityNot monotonic
2022-07-26T03:01:33.287085image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
15990
49.6%
24105
34.0%
01073
 
8.9%
3915
 
7.6%
ValueCountFrequency (%)
01073
 
8.9%
15990
49.6%
24105
34.0%
3915
 
7.6%
ValueCountFrequency (%)
3915
 
7.6%
24105
34.0%
15990
49.6%
01073
 
8.9%

ELECCHRG
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.721178515
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative1073
Negative (%)8.9%
Memory size94.5 KiB
2022-07-26T03:01:33.317526image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q12
median2
Q32
95-th percentile3
Maximum3
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.251175591
Coefficient of variation (CV)0.7269295891
Kurtosis4.124295082
Mean1.721178515
Median Absolute Deviation (MAD)0
Skewness-2.183671234
Sum20797
Variance1.565440359
MonotonicityNot monotonic
2022-07-26T03:01:33.429019image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
28325
68.9%
31804
 
14.9%
-21073
 
8.9%
1881
 
7.3%
ValueCountFrequency (%)
-21073
 
8.9%
1881
 
7.3%
28325
68.9%
31804
 
14.9%
ValueCountFrequency (%)
31804
 
14.9%
28325
68.9%
1881
 
7.3%
-21073
 
8.9%

CHRGPLGE
Real number (ℝ)

ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2354547712
Minimum-2
Maximum2
Zeros5563
Zeros (%)46.0%
Negative1954
Negative (%)16.2%
Memory size94.5 KiB
2022-07-26T03:01:33.458638image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q10
median0
Q31
95-th percentile2
Maximum2
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.22980731
Coefficient of variation (CV)5.223114843
Kurtosis-0.4366341991
Mean0.2354547712
Median Absolute Deviation (MAD)1
Skewness-0.3926443185
Sum2845
Variance1.51242602
MonotonicityNot monotonic
2022-07-26T03:01:33.487980image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
05563
46.0%
12379
19.7%
22187
 
18.1%
-21954
 
16.2%
ValueCountFrequency (%)
-21954
 
16.2%
05563
46.0%
12379
19.7%
22187
 
18.1%
ValueCountFrequency (%)
22187
 
18.1%
12379
19.7%
05563
46.0%
-21954
 
16.2%

HEATHOME
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9630886369
Minimum0
Maximum1
Zeros446
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:33.519922image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1885519999
Coefficient of variation (CV)0.1957784493
Kurtosis22.13991134
Mean0.9630886369
Median Absolute Deviation (MAD)0
Skewness-4.912865429
Sum11637
Variance0.03555185665
MonotonicityNot monotonic
2022-07-26T03:01:33.549191image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
111637
96.3%
0446
 
3.7%
ValueCountFrequency (%)
0446
 
3.7%
111637
96.3%
ValueCountFrequency (%)
111637
96.3%
0446
 
3.7%

DNTHEAT
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.876934536
Minimum-2
Maximum2
Zeros0
Zeros (%)0.0%
Negative11637
Negative (%)96.3%
Memory size94.5 KiB
2022-07-26T03:01:33.579834image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum2
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6351457852
Coefficient of variation (CV)-0.3383952786
Kurtosis24.48211028
Mean-1.876934536
Median Absolute Deviation (MAD)0
Skewness5.083054499
Sum-22679
Variance0.4034101685
MonotonicityNot monotonic
2022-07-26T03:01:33.609339image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-211637
96.3%
1297
 
2.5%
2149
 
1.2%
ValueCountFrequency (%)
-211637
96.3%
1297
 
2.5%
2149
 
1.2%
ValueCountFrequency (%)
2149
 
1.2%
1297
 
2.5%
-211637
96.3%

EQUIPNOHEAT
Real number (ℝ)

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.826450385
Minimum-2
Maximum21
Zeros0
Zeros (%)0.0%
Negative11786
Negative (%)97.5%
Memory size94.5 KiB
2022-07-26T03:01:33.642065image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum21
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.224611951
Coefficient of variation (CV)-0.6704873895
Kurtosis115.3427197
Mean-1.826450385
Median Absolute Deviation (MAD)0
Skewness9.364558917
Sum-22069
Variance1.499674429
MonotonicityNot monotonic
2022-07-26T03:01:33.672635image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-211786
97.5%
3164
 
1.4%
630
 
0.2%
729
 
0.2%
524
 
0.2%
1023
 
0.2%
218
 
0.1%
26
 
< 0.1%
96
 
< 0.1%
45
 
< 0.1%
ValueCountFrequency (%)
-211786
97.5%
26
 
< 0.1%
3164
 
1.4%
45
 
< 0.1%
524
 
0.2%
ValueCountFrequency (%)
218
 
0.1%
122
 
< 0.1%
1023
0.2%
96
 
< 0.1%
729
0.2%

FUELNOHEAT
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.86634114
Minimum-2
Maximum21
Zeros0
Zeros (%)0.0%
Negative11786
Negative (%)97.5%
Memory size94.5 KiB
2022-07-26T03:01:33.702180image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum21
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9144475277
Coefficient of variation (CV)-0.4899680492
Kurtosis79.41155737
Mean-1.86634114
Median Absolute Deviation (MAD)0
Skewness7.948569329
Sum-22551
Variance0.8362142809
MonotonicityNot monotonic
2022-07-26T03:01:33.731454image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-211786
97.5%
5166
 
1.4%
1122
 
1.0%
75
 
< 0.1%
22
 
< 0.1%
91
 
< 0.1%
211
 
< 0.1%
ValueCountFrequency (%)
-211786
97.5%
1122
 
1.0%
22
 
< 0.1%
5166
 
1.4%
75
 
< 0.1%
ValueCountFrequency (%)
211
 
< 0.1%
91
 
< 0.1%
75
 
< 0.1%
5166
1.4%
22
 
< 0.1%

EQUIPM
Real number (ℝ)

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.446164032
Minimum-2
Maximum21
Zeros0
Zeros (%)0.0%
Negative446
Negative (%)3.7%
Memory size94.5 KiB
2022-07-26T03:01:33.762569image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile2
Q13
median3
Q33
95-th percentile8
Maximum21
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.325052836
Coefficient of variation (CV)0.6746785164
Kurtosis17.65081164
Mean3.446164032
Median Absolute Deviation (MAD)0
Skewness2.743255196
Sum41640
Variance5.405870692
MonotonicityNot monotonic
2022-07-26T03:01:33.793403image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
37561
62.6%
21328
 
11.0%
41017
 
8.4%
5533
 
4.4%
-2446
 
3.7%
7338
 
2.8%
10284
 
2.4%
8224
 
1.9%
6184
 
1.5%
970
 
0.6%
Other values (3)98
 
0.8%
ValueCountFrequency (%)
-2446
 
3.7%
21328
 
11.0%
37561
62.6%
41017
 
8.4%
5533
 
4.4%
ValueCountFrequency (%)
2163
 
0.5%
1220
 
0.2%
1115
 
0.1%
10284
2.4%
970
 
0.6%

FUELHEAT
Real number (ℝ)

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.611520318
Minimum-2
Maximum21
Zeros0
Zeros (%)0.0%
Negative446
Negative (%)3.7%
Memory size94.5 KiB
2022-07-26T03:01:33.823370image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile1
Q11
median1
Q35
95-th percentile5
Maximum21
Range23
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.265421983
Coefficient of variation (CV)0.8674724711
Kurtosis6.188614356
Mean2.611520318
Median Absolute Deviation (MAD)1
Skewness1.056003718
Sum31555
Variance5.132136763
MonotonicityNot monotonic
2022-07-26T03:01:33.853672image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
15903
48.9%
54038
33.4%
3817
 
6.8%
2487
 
4.0%
-2446
 
3.7%
7295
 
2.4%
452
 
0.4%
923
 
0.2%
2121
 
0.2%
81
 
< 0.1%
ValueCountFrequency (%)
-2446
 
3.7%
15903
48.9%
2487
 
4.0%
3817
 
6.8%
452
 
0.4%
ValueCountFrequency (%)
2121
 
0.2%
923
 
0.2%
81
 
< 0.1%
7295
 
2.4%
54038
33.4%

MAINTHT
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3136638252
Minimum-2
Maximum1
Zeros6955
Zeros (%)57.6%
Negative446
Negative (%)3.7%
Memory size94.5 KiB
2022-07-26T03:01:33.883080image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6608957232
Coefficient of variation (CV)2.107019267
Kurtosis3.026712908
Mean0.3136638252
Median Absolute Deviation (MAD)0
Skewness-1.21151655
Sum3790
Variance0.436783157
MonotonicityNot monotonic
2022-07-26T03:01:33.910606image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
06955
57.6%
14682
38.7%
-2446
 
3.7%
ValueCountFrequency (%)
-2446
 
3.7%
06955
57.6%
14682
38.7%
ValueCountFrequency (%)
14682
38.7%
06955
57.6%
-2446
 
3.7%

EQUIPAGE
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.64785235
Minimum-2
Maximum42
Zeros0
Zeros (%)0.0%
Negative149
Negative (%)1.2%
Memory size94.5 KiB
2022-07-26T03:01:33.942310image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile1
Q12
median5
Q341
95-th percentile42
Maximum42
Range44
Interquartile range (IQR)39

Descriptive statistics

Standard deviation17.13672926
Coefficient of variation (CV)1.255635599
Kurtosis-0.9964239441
Mean13.64785235
Median Absolute Deviation (MAD)3
Skewness0.985658056
Sum164907
Variance293.6674898
MonotonicityNot monotonic
2022-07-26T03:01:33.970699image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
52901
24.0%
32821
23.3%
412150
17.8%
21727
14.3%
421178
9.7%
11157
 
9.6%
-2149
 
1.2%
ValueCountFrequency (%)
-2149
 
1.2%
11157
 
9.6%
21727
14.3%
32821
23.3%
52901
24.0%
ValueCountFrequency (%)
421178
9.7%
412150
17.8%
52901
24.0%
32821
23.3%
21727
14.3%

REPLCHT
Real number (ℝ)

ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.58884383
Minimum-9
Maximum1
Zeros551
Zeros (%)4.6%
Negative9695
Negative (%)80.2%
Memory size94.5 KiB
2022-07-26T03:01:33.999816image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile1
Maximum1
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.528013971
Coefficient of variation (CV)-0.9617143877
Kurtosis9.079226906
Mean-1.58884383
Median Absolute Deviation (MAD)0
Skewness-1.444020366
Sum-19198
Variance2.334826697
MonotonicityNot monotonic
2022-07-26T03:01:34.027137image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-29460
78.3%
11837
 
15.2%
0551
 
4.6%
-9235
 
1.9%
ValueCountFrequency (%)
-9235
 
1.9%
-29460
78.3%
0551
 
4.6%
11837
 
15.2%
ValueCountFrequency (%)
11837
 
15.2%
0551
 
4.6%
-29460
78.3%
-9235
 
1.9%

HELPHT
Real number (ℝ)

ZEROS

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.133079533
Minimum-9
Maximum5
Zeros5027
Zeros (%)41.6%
Negative6649
Negative (%)55.0%
Memory size94.5 KiB
2022-07-26T03:01:34.055848image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q30
95-th percentile0
Maximum5
Range14
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.579803632
Coefficient of variation (CV)-1.394256613
Kurtosis9.309648124
Mean-1.133079533
Median Absolute Deviation (MAD)0
Skewness-1.472088497
Sum-13691
Variance2.495779516
MonotonicityNot monotonic
2022-07-26T03:01:34.084952image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-26443
53.3%
05027
41.6%
-9205
 
1.7%
3175
 
1.4%
2100
 
0.8%
182
 
0.7%
541
 
0.3%
49
 
0.1%
-81
 
< 0.1%
ValueCountFrequency (%)
-9205
 
1.7%
-81
 
< 0.1%
-26443
53.3%
05027
41.6%
182
 
0.7%
ValueCountFrequency (%)
541
 
0.3%
49
 
0.1%
3175
1.4%
2100
0.8%
182
0.7%

HELPHTY
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.854754614
Minimum-9
Maximum6
Zeros0
Zeros (%)0.0%
Negative11660
Negative (%)96.5%
Memory size94.5 KiB
2022-07-26T03:01:34.116395image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum6
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.278218787
Coefficient of variation (CV)-0.6891578957
Kurtosis23.59401994
Mean-1.854754614
Median Absolute Deviation (MAD)0
Skewness2.166106712
Sum-22411
Variance1.633843267
MonotonicityNot monotonic
2022-07-26T03:01:34.145851image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-211560
95.7%
4148
 
1.2%
-999
 
0.8%
381
 
0.7%
666
 
0.5%
553
 
0.4%
138
 
0.3%
237
 
0.3%
-81
 
< 0.1%
ValueCountFrequency (%)
-999
 
0.8%
-81
 
< 0.1%
-211560
95.7%
138
 
0.3%
237
 
0.3%
ValueCountFrequency (%)
666
0.5%
553
 
0.4%
4148
1.2%
381
0.7%
237
 
0.3%

HEATOTH
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0008276090375
Minimum-2
Maximum1
Zeros10755
Zeros (%)89.0%
Negative446
Negative (%)3.7%
Memory size94.5 KiB
2022-07-26T03:01:34.177462image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4697426384
Coefficient of variation (CV)-567.59003
Kurtosis10.62065237
Mean-0.0008276090375
Median Absolute Deviation (MAD)0
Skewness-2.139870797
Sum-10
Variance0.2206581463
MonotonicityNot monotonic
2022-07-26T03:01:34.206696image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
010755
89.0%
1882
 
7.3%
-2446
 
3.7%
ValueCountFrequency (%)
-2446
 
3.7%
010755
89.0%
1882
 
7.3%
ValueCountFrequency (%)
1882
 
7.3%
010755
89.0%
-2446
 
3.7%

EQUIPAUX
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3029049077
Minimum-2
Maximum1
Zeros7085
Zeros (%)58.6%
Negative446
Negative (%)3.7%
Memory size94.5 KiB
2022-07-26T03:01:34.237949image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6577670638
Coefficient of variation (CV)2.171529899
Kurtosis3.050308447
Mean0.3029049077
Median Absolute Deviation (MAD)0
Skewness-1.193196472
Sum3660
Variance0.4326575102
MonotonicityNot monotonic
2022-07-26T03:01:34.265596image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
07085
58.6%
14552
37.7%
-2446
 
3.7%
ValueCountFrequency (%)
-2446
 
3.7%
07085
58.6%
14552
37.7%
ValueCountFrequency (%)
14552
37.7%
07085
58.6%
-2446
 
3.7%

REVERSE
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06256724323
Minimum-2
Maximum1
Zeros11501
Zeros (%)95.2%
Negative446
Negative (%)3.7%
Memory size94.5 KiB
2022-07-26T03:01:34.295907image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3936992547
Coefficient of variation (CV)-6.292418114
Kurtosis19.25749594
Mean-0.06256724323
Median Absolute Deviation (MAD)0
Skewness-4.174858969
Sum-756
Variance0.1549991031
MonotonicityNot monotonic
2022-07-26T03:01:34.401346image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
011501
95.2%
-2446
 
3.7%
1136
 
1.1%
ValueCountFrequency (%)
-2446
 
3.7%
011501
95.2%
1136
 
1.1%
ValueCountFrequency (%)
1136
 
1.1%
011501
95.2%
-2446
 
3.7%

WARMAIR
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05139452123
Minimum-2
Maximum1
Zeros11366
Zeros (%)94.1%
Negative446
Negative (%)3.7%
Memory size94.5 KiB
2022-07-26T03:01:34.431352image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4092018064
Coefficient of variation (CV)-7.961973313
Kurtosis16.96894404
Mean-0.05139452123
Median Absolute Deviation (MAD)0
Skewness-3.604431523
Sum-621
Variance0.1674461184
MonotonicityNot monotonic
2022-07-26T03:01:34.458680image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
011366
94.1%
-2446
 
3.7%
1271
 
2.2%
ValueCountFrequency (%)
-2446
 
3.7%
011366
94.1%
1271
 
2.2%
ValueCountFrequency (%)
1271
 
2.2%
011366
94.1%
-2446
 
3.7%

FURNFUEL
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.900935198
Minimum-2
Maximum7
Zeros0
Zeros (%)0.0%
Negative11812
Negative (%)97.8%
Memory size94.5 KiB
2022-07-26T03:01:34.489887image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum7
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.700014155
Coefficient of variation (CV)-0.3682472478
Kurtosis65.41405811
Mean-1.900935198
Median Absolute Deviation (MAD)0
Skewness7.836910137
Sum-22969
Variance0.4900198173
MonotonicityNot monotonic
2022-07-26T03:01:34.517650image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-211812
97.8%
1126
 
1.0%
569
 
0.6%
248
 
0.4%
327
 
0.2%
71
 
< 0.1%
ValueCountFrequency (%)
-211812
97.8%
1126
 
1.0%
248
 
0.4%
327
 
0.2%
569
 
0.6%
ValueCountFrequency (%)
71
 
< 0.1%
569
0.6%
327
 
0.2%
248
 
0.4%
1126
1.0%

STEAMR
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06893983282
Minimum-2
Maximum1
Zeros11578
Zeros (%)95.8%
Negative446
Negative (%)3.7%
Memory size94.5 KiB
2022-07-26T03:01:34.546031image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3844318875
Coefficient of variation (CV)-5.576339131
Kurtosis20.80580278
Mean-0.06893983282
Median Absolute Deviation (MAD)0
Skewness-4.568948179
Sum-833
Variance0.1477878761
MonotonicityNot monotonic
2022-07-26T03:01:34.573575image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
011578
95.8%
-2446
 
3.7%
159
 
0.5%
ValueCountFrequency (%)
-2446
 
3.7%
011578
95.8%
159
 
0.5%
ValueCountFrequency (%)
159
 
0.5%
011578
95.8%
-2446
 
3.7%

RADFUEL
Real number (ℝ)

SKEWED

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.975916577
Minimum-2
Maximum21
Zeros0
Zeros (%)0.0%
Negative12024
Negative (%)99.5%
Memory size94.5 KiB
2022-07-26T03:01:34.603888image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum21
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4282670396
Coefficient of variation (CV)-0.2167434823
Kurtosis1454.565597
Mean-1.975916577
Median Absolute Deviation (MAD)0
Skewness31.93106929
Sum-23875
Variance0.1834126572
MonotonicityNot monotonic
2022-07-26T03:01:34.632972image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-212024
99.5%
125
 
0.2%
322
 
0.2%
55
 
< 0.1%
24
 
< 0.1%
212
 
< 0.1%
71
 
< 0.1%
ValueCountFrequency (%)
-212024
99.5%
125
 
0.2%
24
 
< 0.1%
322
 
0.2%
55
 
< 0.1%
ValueCountFrequency (%)
212
 
< 0.1%
71
 
< 0.1%
55
 
< 0.1%
322
0.2%
24
 
< 0.1%

PERMELEC
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05321526111
Minimum-2
Maximum1
Zeros11388
Zeros (%)94.2%
Negative446
Negative (%)3.7%
Memory size94.5 KiB
2022-07-26T03:01:34.661672image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4067367021
Coefficient of variation (CV)-7.64323417
Kurtosis17.30995702
Mean-0.05321526111
Median Absolute Deviation (MAD)0
Skewness-3.688386836
Sum-643
Variance0.1654347448
MonotonicityNot monotonic
2022-07-26T03:01:34.689026image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
011388
94.2%
-2446
 
3.7%
1249
 
2.1%
ValueCountFrequency (%)
-2446
 
3.7%
011388
94.2%
1249
 
2.1%
ValueCountFrequency (%)
1249
 
2.1%
011388
94.2%
-2446
 
3.7%

PIPELESS
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07183646445
Minimum-2
Maximum1
Zeros11613
Zeros (%)96.1%
Negative446
Negative (%)3.7%
Memory size94.5 KiB
2022-07-26T03:01:34.719134image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3801094499
Coefficient of variation (CV)-5.291316225
Kurtosis21.58027889
Mean-0.07183646445
Median Absolute Deviation (MAD)0
Skewness-4.768149437
Sum-868
Variance0.1444831939
MonotonicityNot monotonic
2022-07-26T03:01:34.746640image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
011613
96.1%
-2446
 
3.7%
124
 
0.2%
ValueCountFrequency (%)
-2446
 
3.7%
011613
96.1%
124
 
0.2%
ValueCountFrequency (%)
124
 
0.2%
011613
96.1%
-2446
 
3.7%

PIPEFUEL
Real number (ℝ)

SKEWED

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.991972192
Minimum-2
Maximum5
Zeros0
Zeros (%)0.0%
Negative12059
Negative (%)99.8%
Memory size94.5 KiB
2022-07-26T03:01:34.781975image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum5
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1955940156
Coefficient of variation (CV)-0.09819113757
Kurtosis899.7893341
Mean-1.991972192
Median Absolute Deviation (MAD)0
Skewness28.42995374
Sum-24069
Variance0.03825701893
MonotonicityNot monotonic
2022-07-26T03:01:34.810251image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-212059
99.8%
117
 
0.1%
56
 
< 0.1%
21
 
< 0.1%
ValueCountFrequency (%)
-212059
99.8%
117
 
0.1%
21
 
< 0.1%
56
 
< 0.1%
ValueCountFrequency (%)
56
 
< 0.1%
21
 
< 0.1%
117
 
0.1%
-212059
99.8%

ROOMHEAT
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06331209137
Minimum-2
Maximum1
Zeros11510
Zeros (%)95.3%
Negative446
Negative (%)3.7%
Memory size94.5 KiB
2022-07-26T03:01:34.840949image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3926326841
Coefficient of variation (CV)-6.201543427
Kurtosis19.42832234
Mean-0.06331209137
Median Absolute Deviation (MAD)0
Skewness-4.218045596
Sum-765
Variance0.1541604246
MonotonicityNot monotonic
2022-07-26T03:01:34.868366image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
011510
95.3%
-2446
 
3.7%
1127
 
1.1%
ValueCountFrequency (%)
-2446
 
3.7%
011510
95.3%
1127
 
1.1%
ValueCountFrequency (%)
1127
 
1.1%
011510
95.3%
-2446
 
3.7%

RMHTFUEL
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.962674832
Minimum-2
Maximum4
Zeros0
Zeros (%)0.0%
Negative11956
Negative (%)98.9%
Memory size94.5 KiB
2022-07-26T03:01:34.898818image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum4
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3686711542
Coefficient of variation (CV)-0.1878411788
Kurtosis106.5913694
Mean-1.962674832
Median Absolute Deviation (MAD)0
Skewness10.18386622
Sum-23715
Variance0.1359184199
MonotonicityNot monotonic
2022-07-26T03:01:34.926771image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-211956
98.9%
167
 
0.6%
253
 
0.4%
34
 
< 0.1%
43
 
< 0.1%
ValueCountFrequency (%)
-211956
98.9%
167
 
0.6%
253
 
0.4%
34
 
< 0.1%
43
 
< 0.1%
ValueCountFrequency (%)
43
 
< 0.1%
34
 
< 0.1%
253
 
0.4%
167
 
0.6%
-211956
98.9%

WOODKILN
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.04940825954
Minimum-2
Maximum1
Zeros11342
Zeros (%)93.9%
Negative446
Negative (%)3.7%
Memory size94.5 KiB
2022-07-26T03:01:34.956893image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4118650043
Coefficient of variation (CV)-8.335954517
Kurtosis16.60953371
Mean-0.04940825954
Median Absolute Deviation (MAD)0
Skewness-3.516385616
Sum-597
Variance0.1696327817
MonotonicityNot monotonic
2022-07-26T03:01:34.987512image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
011342
93.9%
-2446
 
3.7%
1295
 
2.4%
ValueCountFrequency (%)
-2446
 
3.7%
011342
93.9%
1295
 
2.4%
ValueCountFrequency (%)
1295
 
2.4%
011342
93.9%
-2446
 
3.7%

HSFUEL
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.771000579
Minimum-2
Maximum21
Zeros0
Zeros (%)0.0%
Negative11788
Negative (%)97.6%
Memory size94.5 KiB
2022-07-26T03:01:35.019553image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum21
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.490613977
Coefficient of variation (CV)-0.8416789889
Kurtosis61.56727762
Mean-1.771000579
Median Absolute Deviation (MAD)0
Skewness7.197580336
Sum-21399
Variance2.221930028
MonotonicityNot monotonic
2022-07-26T03:01:35.047437image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-211788
97.6%
7287
 
2.4%
218
 
0.1%
ValueCountFrequency (%)
-211788
97.6%
7287
 
2.4%
218
 
0.1%
ValueCountFrequency (%)
218
 
0.1%
7287
 
2.4%
-211788
97.6%

CARRYEL
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1242241165
Minimum-2
Maximum1
Zeros9244
Zeros (%)76.5%
Negative446
Negative (%)3.7%
Memory size94.5 KiB
2022-07-26T03:01:35.075919image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5747068807
Coefficient of variation (CV)4.626371246
Kurtosis4.962807439
Mean0.1242241165
Median Absolute Deviation (MAD)0
Skewness-1.171091937
Sum1501
Variance0.3302879988
MonotonicityNot monotonic
2022-07-26T03:01:35.103523image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
09244
76.5%
12393
 
19.8%
-2446
 
3.7%
ValueCountFrequency (%)
-2446
 
3.7%
09244
76.5%
12393
 
19.8%
ValueCountFrequency (%)
12393
 
19.8%
09244
76.5%
-2446
 
3.7%

CARRYKER
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06778118017
Minimum-2
Maximum1
Zeros11564
Zeros (%)95.7%
Negative446
Negative (%)3.7%
Memory size94.5 KiB
2022-07-26T03:01:35.133767image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3861412306
Coefficient of variation (CV)-5.696879718
Kurtosis20.50902394
Mean-0.06778118017
Median Absolute Deviation (MAD)0
Skewness-4.492964081
Sum-819
Variance0.1491050499
MonotonicityNot monotonic
2022-07-26T03:01:35.161239image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
011564
95.7%
-2446
 
3.7%
173
 
0.6%
ValueCountFrequency (%)
-2446
 
3.7%
011564
95.7%
173
 
0.6%
ValueCountFrequency (%)
173
 
0.6%
011564
95.7%
-2446
 
3.7%

CHIMNEY
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04593230158
Minimum-2
Maximum1
Zeros10190
Zeros (%)84.3%
Negative446
Negative (%)3.7%
Memory size94.5 KiB
2022-07-26T03:01:35.191493image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5150851009
Coefficient of variation (CV)11.2140059
Kurtosis7.602795572
Mean0.04593230158
Median Absolute Deviation (MAD)0
Skewness-1.553079838
Sum555
Variance0.2653126612
MonotonicityNot monotonic
2022-07-26T03:01:35.219064image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
010190
84.3%
11447
 
12.0%
-2446
 
3.7%
ValueCountFrequency (%)
-2446
 
3.7%
010190
84.3%
11447
 
12.0%
ValueCountFrequency (%)
11447
 
12.0%
010190
84.3%
-2446
 
3.7%

FPFUEL
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.194322602
Minimum-2
Maximum21
Zeros0
Zeros (%)0.0%
Negative10636
Negative (%)88.0%
Memory size94.5 KiB
2022-07-26T03:01:35.248983image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile7
Maximum21
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.628862795
Coefficient of variation (CV)-2.201132919
Kurtosis24.0288588
Mean-1.194322602
Median Absolute Deviation (MAD)0
Skewness4.332259186
Sum-14431
Variance6.910919594
MonotonicityNot monotonic
2022-07-26T03:01:35.277017image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-210636
88.0%
7706
 
5.8%
1552
 
4.6%
2138
 
1.1%
2151
 
0.4%
ValueCountFrequency (%)
-210636
88.0%
1552
 
4.6%
2138
 
1.1%
7706
 
5.8%
2151
 
0.4%
ValueCountFrequency (%)
2151
 
0.4%
7706
 
5.8%
2138
 
1.1%
1552
 
4.6%
-210636
88.0%

NGFPFLUE
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.814532815
Minimum-2
Maximum2
Zeros0
Zeros (%)0.0%
Negative11393
Negative (%)94.3%
Memory size94.5 KiB
2022-07-26T03:01:35.384378image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile1
Maximum2
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7606969355
Coefficient of variation (CV)-0.4192246783
Kurtosis14.01027263
Mean-1.814532815
Median Absolute Deviation (MAD)0
Skewness3.947376492
Sum-21925
Variance0.5786598277
MonotonicityNot monotonic
2022-07-26T03:01:35.413396image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-211393
94.3%
1519
 
4.3%
2171
 
1.4%
ValueCountFrequency (%)
-211393
94.3%
1519
 
4.3%
2171
 
1.4%
ValueCountFrequency (%)
2171
 
1.4%
1519
 
4.3%
-211393
94.3%

USENGFP
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.762972772
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative11393
Negative (%)94.3%
Memory size94.5 KiB
2022-07-26T03:01:35.444367image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile1
Maximum3
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9847855186
Coefficient of variation (CV)-0.5585937199
Kurtosis15.23874917
Mean-1.762972772
Median Absolute Deviation (MAD)0
Skewness4.078300149
Sum-21302
Variance0.9698025176
MonotonicityNot monotonic
2022-07-26T03:01:35.473750image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-211393
94.3%
3314
 
2.6%
1210
 
1.7%
2166
 
1.4%
ValueCountFrequency (%)
-211393
94.3%
1210
 
1.7%
2166
 
1.4%
3314
 
2.6%
ValueCountFrequency (%)
3314
 
2.6%
2166
 
1.4%
1210
 
1.7%
-211393
94.3%

RANGE
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06670528842
Minimum-2
Maximum1
Zeros11551
Zeros (%)95.6%
Negative446
Negative (%)3.7%
Memory size94.5 KiB
2022-07-26T03:01:35.502473image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3877186294
Coefficient of variation (CV)-5.812412158
Kurtosis20.23976655
Mean-0.06670528842
Median Absolute Deviation (MAD)0
Skewness-4.424202337
Sum-806
Variance0.1503257356
MonotonicityNot monotonic
2022-07-26T03:01:35.529917image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
011551
95.6%
-2446
 
3.7%
186
 
0.7%
ValueCountFrequency (%)
-2446
 
3.7%
011551
95.6%
186
 
0.7%
ValueCountFrequency (%)
186
 
0.7%
011551
95.6%
-2446
 
3.7%

RNGFUEL
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.961681702
Minimum-2
Maximum7
Zeros0
Zeros (%)0.0%
Negative11997
Negative (%)99.3%
Memory size94.5 KiB
2022-07-26T03:01:35.561110image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum7
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4847670149
Coefficient of variation (CV)-0.2471180796
Kurtosis196.3124356
Mean-1.961681702
Median Absolute Deviation (MAD)0
Skewness13.72809525
Sum-23703
Variance0.2349990588
MonotonicityNot monotonic
2022-07-26T03:01:35.589038image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-211997
99.3%
544
 
0.4%
133
 
0.3%
25
 
< 0.1%
74
 
< 0.1%
ValueCountFrequency (%)
-211997
99.3%
133
 
0.3%
25
 
< 0.1%
544
 
0.4%
74
 
< 0.1%
ValueCountFrequency (%)
74
 
< 0.1%
544
 
0.4%
25
 
< 0.1%
133
 
0.3%
-211997
99.3%

DIFEQUIP
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06728461475
Minimum-2
Maximum1
Zeros11558
Zeros (%)95.7%
Negative446
Negative (%)3.7%
Memory size94.5 KiB
2022-07-26T03:01:35.619843image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3868704318
Coefficient of variation (CV)-5.749760674
Kurtosis20.38400705
Mean-0.06728461475
Median Absolute Deviation (MAD)0
Skewness-4.461016674
Sum-813
Variance0.149668731
MonotonicityNot monotonic
2022-07-26T03:01:35.647266image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
011558
95.7%
-2446
 
3.7%
179
 
0.7%
ValueCountFrequency (%)
-2446
 
3.7%
011558
95.7%
179
 
0.7%
ValueCountFrequency (%)
179
 
0.7%
011558
95.7%
-2446
 
3.7%

DIFFUEL
Real number (ℝ)

SKEWED

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.958371265
Minimum-2
Maximum21
Zeros0
Zeros (%)0.0%
Negative12004
Negative (%)99.3%
Memory size94.5 KiB
2022-07-26T03:01:35.677765image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum21
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6179768955
Coefficient of variation (CV)-0.3155565578
Kurtosis695.7560529
Mean-1.958371265
Median Absolute Deviation (MAD)0
Skewness22.80670862
Sum-23663
Variance0.3818954433
MonotonicityNot monotonic
2022-07-26T03:01:35.707224image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
-212004
99.3%
532
 
0.3%
229
 
0.2%
19
 
0.1%
214
 
< 0.1%
83
 
< 0.1%
71
 
< 0.1%
31
 
< 0.1%
ValueCountFrequency (%)
-212004
99.3%
19
 
0.1%
229
 
0.2%
31
 
< 0.1%
532
 
0.3%
ValueCountFrequency (%)
214
 
< 0.1%
83
 
< 0.1%
71
 
< 0.1%
532
0.3%
31
 
< 0.1%

EQMAMT
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7244061905
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative7531
Negative (%)62.3%
Memory size94.5 KiB
2022-07-26T03:01:35.735736image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q31
95-th percentile2
Maximum3
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.693201706
Coefficient of variation (CV)-2.337365042
Kurtosis-1.102219004
Mean-0.7244061905
Median Absolute Deviation (MAD)0
Skewness0.7275731723
Sum-8753
Variance2.866932016
MonotonicityNot monotonic
2022-07-26T03:01:35.765986image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-27531
62.3%
13311
27.4%
2725
 
6.0%
3516
 
4.3%
ValueCountFrequency (%)
-27531
62.3%
13311
27.4%
2725
 
6.0%
3516
 
4.3%
ValueCountFrequency (%)
3516
 
4.3%
2725
 
6.0%
13311
27.4%
-27531
62.3%

HEATROOM
Real number (ℝ)

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.351568319
Minimum-2
Maximum23
Zeros0
Zeros (%)0.0%
Negative446
Negative (%)3.7%
Memory size94.5 KiB
2022-07-26T03:01:35.798580image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile1
Q14
median5
Q37
95-th percentile9
Maximum23
Range25
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.624558638
Coefficient of variation (CV)0.4904279421
Kurtosis1.460447752
Mean5.351568319
Median Absolute Deviation (MAD)1
Skewness-0.3244099632
Sum64663
Variance6.888308043
MonotonicityNot monotonic
2022-07-26T03:01:35.833709image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
62158
17.9%
52133
17.7%
41804
14.9%
71556
12.9%
81072
8.9%
31034
8.6%
9566
 
4.7%
-2446
 
3.7%
1400
 
3.3%
2372
 
3.1%
Other values (11)542
 
4.5%
ValueCountFrequency (%)
-2446
 
3.7%
1400
 
3.3%
2372
 
3.1%
31034
8.6%
41804
14.9%
ValueCountFrequency (%)
231
 
< 0.1%
191
 
< 0.1%
181
 
< 0.1%
172
< 0.1%
163
< 0.1%

THERMAIN
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6735082347
Minimum-2
Maximum1
Zeros768
Zeros (%)6.4%
Negative1059
Negative (%)8.8%
Memory size94.5 KiB
2022-07-26T03:01:35.865397image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q11
median1
Q31
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8636083601
Coefficient of variation (CV)1.282253602
Kurtosis5.094499326
Mean0.6735082347
Median Absolute Deviation (MAD)0
Skewness-2.585177376
Sum8138
Variance0.7458193996
MonotonicityNot monotonic
2022-07-26T03:01:35.892389image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
110256
84.9%
-21059
 
8.8%
0768
 
6.4%
ValueCountFrequency (%)
-21059
 
8.8%
0768
 
6.4%
110256
84.9%
ValueCountFrequency (%)
110256
84.9%
0768
 
6.4%
-21059
 
8.8%

NUMTHERM
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7921046098
Minimum-2
Maximum5
Zeros0
Zeros (%)0.0%
Negative1827
Negative (%)15.1%
Memory size94.5 KiB
2022-07-26T03:01:35.922655image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q11
median1
Q31
95-th percentile3
Maximum5
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.360757466
Coefficient of variation (CV)1.717901208
Kurtosis1.569308973
Mean0.7921046098
Median Absolute Deviation (MAD)0
Skewness-0.5557113145
Sum9571
Variance1.851660882
MonotonicityNot monotonic
2022-07-26T03:01:35.952322image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
18378
69.3%
-21827
 
15.1%
21264
 
10.5%
3310
 
2.6%
5173
 
1.4%
4131
 
1.1%
ValueCountFrequency (%)
-21827
 
15.1%
18378
69.3%
21264
 
10.5%
3310
 
2.6%
4131
 
1.1%
ValueCountFrequency (%)
5173
 
1.4%
4131
 
1.1%
3310
 
2.6%
21264
 
10.5%
18378
69.3%

PROTHERM
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0861541008
Minimum-2
Maximum1
Zeros5561
Zeros (%)46.0%
Negative1827
Negative (%)15.1%
Memory size94.5 KiB
2022-07-26T03:01:35.983960image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q10
median0
Q31
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9929945639
Coefficient of variation (CV)11.52579569
Kurtosis0.2253867528
Mean0.0861541008
Median Absolute Deviation (MAD)1
Skewness-1.099761752
Sum1041
Variance0.986038204
MonotonicityNot monotonic
2022-07-26T03:01:36.010928image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
05561
46.0%
14695
38.9%
-21827
 
15.1%
ValueCountFrequency (%)
-21827
 
15.1%
05561
46.0%
14695
38.9%
ValueCountFrequency (%)
14695
38.9%
05561
46.0%
-21827
 
15.1%

AUTOHEATNITE
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9813787967
Minimum-2
Maximum1
Zeros1777
Zeros (%)14.7%
Negative7388
Negative (%)61.1%
Memory size94.5 KiB
2022-07-26T03:01:36.040624image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q30
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.313120294
Coefficient of variation (CV)-1.338036137
Kurtosis-1.480699603
Mean-0.9813787967
Median Absolute Deviation (MAD)0
Skewness0.6057858441
Sum-11858
Variance1.724284906
MonotonicityNot monotonic
2022-07-26T03:01:36.068682image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-27388
61.1%
12918
 
24.1%
01777
 
14.7%
ValueCountFrequency (%)
-27388
61.1%
01777
 
14.7%
12918
 
24.1%
ValueCountFrequency (%)
12918
 
24.1%
01777
 
14.7%
-27388
61.1%

AUTOHEATDAY
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.015641811
Minimum-2
Maximum1
Zeros2191
Zeros (%)18.1%
Negative7388
Negative (%)61.1%
Memory size94.5 KiB
2022-07-26T03:01:36.099255image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q30
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.273416447
Coefficient of variation (CV)-1.253804671
Kurtosis-1.407270633
Mean-1.015641811
Median Absolute Deviation (MAD)0
Skewness0.6315734674
Sum-12272
Variance1.621589447
MonotonicityNot monotonic
2022-07-26T03:01:36.127090image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-27388
61.1%
12504
 
20.7%
02191
 
18.1%
ValueCountFrequency (%)
-27388
61.1%
02191
 
18.1%
12504
 
20.7%
ValueCountFrequency (%)
12504
 
20.7%
02191
 
18.1%
-27388
61.1%

TEMPHOME
Real number (ℝ)

Distinct40
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.02954564
Minimum-2
Maximum90
Zeros0
Zeros (%)0.0%
Negative446
Negative (%)3.7%
Memory size94.5 KiB
2022-07-26T03:01:36.165029image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile60
Q168
median70
Q372
95-th percentile77
Maximum90
Range92
Interquartile range (IQR)4

Descriptive statistics

Standard deviation14.1704292
Coefficient of variation (CV)0.2114057177
Kurtosis17.86388072
Mean67.02954564
Median Absolute Deviation (MAD)2
Skewness-4.224431026
Sum809918
Variance200.8010637
MonotonicityNot monotonic
2022-07-26T03:01:36.205545image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
702731
22.6%
682298
19.0%
721269
10.5%
65910
 
7.5%
75853
 
7.1%
69506
 
4.2%
-2446
 
3.7%
67394
 
3.3%
74331
 
2.7%
78296
 
2.4%
Other values (30)2049
17.0%
ValueCountFrequency (%)
-2446
3.7%
407
 
0.1%
453
 
< 0.1%
461
 
< 0.1%
481
 
< 0.1%
ValueCountFrequency (%)
9010
0.1%
891
 
< 0.1%
8514
0.1%
832
 
< 0.1%
8210
0.1%

TEMPGONE
Real number (ℝ)

Distinct43
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.84714061
Minimum-2
Maximum90
Zeros0
Zeros (%)0.0%
Negative446
Negative (%)3.7%
Memory size94.5 KiB
2022-07-26T03:01:36.247551image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile50
Q162
median68
Q370
95-th percentile75
Maximum90
Range92
Interquartile range (IQR)8

Descriptive statistics

Standard deviation14.27884236
Coefficient of variation (CV)0.2236410625
Kurtosis13.86635642
Mean63.84714061
Median Absolute Deviation (MAD)3
Skewness-3.589927052
Sum771465
Variance203.8853392
MonotonicityNot monotonic
2022-07-26T03:01:36.369520image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
701774
14.7%
681739
14.4%
651701
14.1%
601193
9.9%
72740
 
6.1%
75504
 
4.2%
62489
 
4.0%
-2446
 
3.7%
67352
 
2.9%
55350
 
2.9%
Other values (33)2795
23.1%
ValueCountFrequency (%)
-2446
3.7%
4077
 
0.6%
421
 
< 0.1%
441
 
< 0.1%
4524
 
0.2%
ValueCountFrequency (%)
904
< 0.1%
891
 
< 0.1%
881
 
< 0.1%
855
< 0.1%
831
 
< 0.1%

TEMPNITE
Real number (ℝ)

Distinct45
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.11528594
Minimum-2
Maximum91
Zeros0
Zeros (%)0.0%
Negative446
Negative (%)3.7%
Memory size94.5 KiB
2022-07-26T03:01:36.412701image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile51.1
Q165
median68
Q370
95-th percentile75
Maximum91
Range93
Interquartile range (IQR)5

Descriptive statistics

Standard deviation14.23036989
Coefficient of variation (CV)0.2185411564
Kurtosis15.38850951
Mean65.11528594
Median Absolute Deviation (MAD)3
Skewness-3.824807148
Sum786788
Variance202.5034271
MonotonicityNot monotonic
2022-07-26T03:01:36.454290image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
702021
16.7%
681881
15.6%
651483
12.3%
72860
 
7.1%
60840
 
7.0%
75670
 
5.5%
-2446
 
3.7%
62434
 
3.6%
69401
 
3.3%
67380
 
3.1%
Other values (35)2667
22.1%
ValueCountFrequency (%)
-2446
3.7%
4020
 
0.2%
422
 
< 0.1%
441
 
< 0.1%
4517
 
0.1%
ValueCountFrequency (%)
911
 
< 0.1%
907
0.1%
8511
0.1%
841
 
< 0.1%
832
 
< 0.1%

MOISTURE
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1525283456
Minimum0
Maximum1
Zeros10240
Zeros (%)84.7%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:36.488788image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3595471433
Coefficient of variation (CV)2.357248037
Kurtosis1.737354272
Mean0.1525283456
Median Absolute Deviation (MAD)0
Skewness1.933149433
Sum1843
Variance0.1292741482
MonotonicityNot monotonic
2022-07-26T03:01:36.517346image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
010240
84.7%
11843
 
15.3%
ValueCountFrequency (%)
010240
84.7%
11843
 
15.3%
ValueCountFrequency (%)
11843
 
15.3%
010240
84.7%

USEMOISTURE
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.433501614
Minimum-2
Maximum5
Zeros0
Zeros (%)0.0%
Negative10240
Negative (%)84.7%
Memory size94.5 KiB
2022-07-26T03:01:36.546443image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile2
Maximum5
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.3981838
Coefficient of variation (CV)-0.9753625576
Kurtosis5.083890239
Mean-1.433501614
Median Absolute Deviation (MAD)0
Skewness2.405286236
Sum-17321
Variance1.95491794
MonotonicityNot monotonic
2022-07-26T03:01:36.574807image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-210240
84.7%
11005
 
8.3%
2614
 
5.1%
5117
 
1.0%
387
 
0.7%
420
 
0.2%
ValueCountFrequency (%)
-210240
84.7%
11005
 
8.3%
2614
 
5.1%
387
 
0.7%
420
 
0.2%
ValueCountFrequency (%)
5117
 
1.0%
420
 
0.2%
387
 
0.7%
2614
5.1%
11005
8.3%

NUMH2ONOTNK
Real number (ℝ≥0)

ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03269055698
Minimum0
Maximum3
Zeros11702
Zeros (%)96.8%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:36.605597image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1846822524
Coefficient of variation (CV)5.649406723
Kurtosis38.24833244
Mean0.03269055698
Median Absolute Deviation (MAD)0
Skewness5.915999542
Sum395
Variance0.03410753435
MonotonicityNot monotonic
2022-07-26T03:01:36.633454image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
011702
96.8%
1368
 
3.0%
212
 
0.1%
31
 
< 0.1%
ValueCountFrequency (%)
011702
96.8%
1368
 
3.0%
212
 
0.1%
31
 
< 0.1%
ValueCountFrequency (%)
31
 
< 0.1%
212
 
0.1%
1368
 
3.0%
011702
96.8%

NUMH2OHTRS
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9990068692
Minimum0
Maximum4
Zeros334
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:36.664737image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2400111876
Coefficient of variation (CV)0.2402497871
Kurtosis22.16550701
Mean0.9990068692
Median Absolute Deviation (MAD)0
Skewness0.7309042273
Sum12071
Variance0.05760537017
MonotonicityNot monotonic
2022-07-26T03:01:36.694976image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
111445
94.7%
0334
 
2.8%
2288
 
2.4%
314
 
0.1%
42
 
< 0.1%
ValueCountFrequency (%)
0334
 
2.8%
111445
94.7%
2288
 
2.4%
314
 
0.1%
42
 
< 0.1%
ValueCountFrequency (%)
42
 
< 0.1%
314
 
0.1%
2288
 
2.4%
111445
94.7%
0334
 
2.8%

H2OTYPE1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.018207399
Minimum-2
Maximum2
Zeros0
Zeros (%)0.0%
Negative34
Negative (%)0.3%
Memory size94.5 KiB
2022-07-26T03:01:36.727540image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2272589107
Coefficient of variation (CV)0.2231951084
Kurtosis93.88021682
Mean1.018207399
Median Absolute Deviation (MAD)0
Skewness-4.44445974
Sum12303
Variance0.0516466125
MonotonicityNot monotonic
2022-07-26T03:01:36.757064image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
111727
97.1%
2322
 
2.7%
-234
 
0.3%
ValueCountFrequency (%)
-234
 
0.3%
111727
97.1%
2322
 
2.7%
ValueCountFrequency (%)
2322
 
2.7%
111727
97.1%
-234
 
0.3%

FUELH2O
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.711247207
Minimum-2
Maximum21
Zeros0
Zeros (%)0.0%
Negative34
Negative (%)0.3%
Memory size94.5 KiB
2022-07-26T03:01:36.789165image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile1
Q11
median1
Q35
95-th percentile5
Maximum21
Range23
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.00094212
Coefficient of variation (CV)0.7380153735
Kurtosis3.334885372
Mean2.711247207
Median Absolute Deviation (MAD)0
Skewness0.8267480245
Sum32760
Variance4.003769368
MonotonicityNot monotonic
2022-07-26T03:01:36.819342image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
16380
52.8%
54773
39.5%
3457
 
3.8%
2399
 
3.3%
-234
 
0.3%
817
 
0.1%
711
 
0.1%
219
 
0.1%
43
 
< 0.1%
ValueCountFrequency (%)
-234
 
0.3%
16380
52.8%
2399
 
3.3%
3457
 
3.8%
43
 
< 0.1%
ValueCountFrequency (%)
219
 
0.1%
817
 
0.1%
711
 
0.1%
54773
39.5%
43
 
< 0.1%

WHEATOTH
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.104940826
Minimum-2
Maximum1
Zeros10713
Zeros (%)88.7%
Negative34
Negative (%)0.3%
Memory size94.5 KiB
2022-07-26T03:01:36.848726image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.332897349
Coefficient of variation (CV)3.172238697
Kurtosis7.290264318
Mean0.104940826
Median Absolute Deviation (MAD)0
Skewness1.410307106
Sum1268
Variance0.110820645
MonotonicityNot monotonic
2022-07-26T03:01:36.876170image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
010713
88.7%
11336
 
11.1%
-234
 
0.3%
ValueCountFrequency (%)
-234
 
0.3%
010713
88.7%
11336
 
11.1%
ValueCountFrequency (%)
11336
 
11.1%
010713
88.7%
-234
 
0.3%

WHEATSIZ
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.081353968
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative356
Negative (%)2.9%
Memory size94.5 KiB
2022-07-26T03:01:36.905855image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum3
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9647413096
Coefficient of variation (CV)0.4635162131
Kurtosis6.92619319
Mean2.081353968
Median Absolute Deviation (MAD)0
Skewness-2.132250916
Sum25149
Variance0.9307257945
MonotonicityNot monotonic
2022-07-26T03:01:36.935171image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
26098
50.5%
34018
33.3%
11611
 
13.3%
-2356
 
2.9%
ValueCountFrequency (%)
-2356
 
2.9%
11611
 
13.3%
26098
50.5%
34018
33.3%
ValueCountFrequency (%)
34018
33.3%
26098
50.5%
11611
 
13.3%
-2356
 
2.9%

WHEATAGE
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.22602003
Minimum-2
Maximum42
Zeros0
Zeros (%)0.0%
Negative34
Negative (%)0.3%
Memory size94.5 KiB
2022-07-26T03:01:36.965257image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile1
Q12
median3
Q341
95-th percentile42
Maximum42
Range44
Interquartile range (IQR)39

Descriptive statistics

Standard deviation17.25946799
Coefficient of variation (CV)1.304963092
Kurtosis-0.9736377929
Mean13.22602003
Median Absolute Deviation (MAD)2
Skewness1.003995231
Sum159810
Variance297.8892352
MonotonicityNot monotonic
2022-07-26T03:01:36.994015image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
33776
31.3%
412354
19.5%
22256
18.7%
11513
12.5%
51197
 
9.9%
42953
 
7.9%
-234
 
0.3%
ValueCountFrequency (%)
-234
 
0.3%
11513
12.5%
22256
18.7%
33776
31.3%
51197
 
9.9%
ValueCountFrequency (%)
42953
 
7.9%
412354
19.5%
51197
 
9.9%
33776
31.3%
22256
18.7%

WHEATBKT
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07373996524
Minimum-2
Maximum1
Zeros10190
Zeros (%)84.3%
Negative334
Negative (%)2.8%
Memory size94.5 KiB
2022-07-26T03:01:37.023358image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4839159166
Coefficient of variation (CV)6.56246467
Kurtosis8.060021824
Mean0.07373996524
Median Absolute Deviation (MAD)0
Skewness-1.273812552
Sum891
Variance0.2341746144
MonotonicityNot monotonic
2022-07-26T03:01:37.050895image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
010190
84.3%
11559
 
12.9%
-2334
 
2.8%
ValueCountFrequency (%)
-2334
 
2.8%
010190
84.3%
11559
 
12.9%
ValueCountFrequency (%)
11559
 
12.9%
010190
84.3%
-2334
 
2.8%

HELPWH
Real number (ℝ)

ZEROS

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.895307457
Minimum-9
Maximum5
Zeros1286
Zeros (%)10.6%
Negative10743
Negative (%)88.9%
Memory size94.5 KiB
2022-07-26T03:01:37.081276image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile0
Maximum5
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.177246764
Coefficient of variation (CV)-0.6211376206
Kurtosis22.7229236
Mean-1.895307457
Median Absolute Deviation (MAD)0
Skewness-3.316415118
Sum-22901
Variance1.385909943
MonotonicityNot monotonic
2022-07-26T03:01:37.108698image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-210524
87.1%
01286
 
10.6%
-9219
 
1.8%
228
 
0.2%
112
 
0.1%
310
 
0.1%
54
 
< 0.1%
ValueCountFrequency (%)
-9219
 
1.8%
-210524
87.1%
01286
 
10.6%
112
 
0.1%
228
 
0.2%
ValueCountFrequency (%)
54
 
< 0.1%
310
 
0.1%
228
 
0.2%
112
 
0.1%
01286
10.6%

HELPWHY
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.986427212
Minimum-9
Maximum6
Zeros0
Zeros (%)0.0%
Negative12027
Negative (%)99.5%
Memory size94.5 KiB
2022-07-26T03:01:37.138860image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum6
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5446291664
Coefficient of variation (CV)-0.2741752445
Kurtosis167.3582457
Mean-1.986427212
Median Absolute Deviation (MAD)0
Skewness3.704856033
Sum-24002
Variance0.2966209289
MonotonicityNot monotonic
2022-07-26T03:01:37.167703image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
-212001
99.3%
-926
 
0.2%
621
 
0.2%
412
 
0.1%
27
 
0.1%
16
 
< 0.1%
55
 
< 0.1%
35
 
< 0.1%
ValueCountFrequency (%)
-926
 
0.2%
-212001
99.3%
16
 
< 0.1%
27
 
0.1%
35
 
< 0.1%
ValueCountFrequency (%)
621
0.2%
55
 
< 0.1%
412
0.1%
35
 
< 0.1%
27
 
0.1%

H2OTYPE2
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.897624762
Minimum-2
Maximum2
Zeros0
Zeros (%)0.0%
Negative11692
Negative (%)96.8%
Memory size94.5 KiB
2022-07-26T03:01:37.199488image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum2
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5637890759
Coefficient of variation (CV)-0.2971025079
Kurtosis28.00013295
Mean-1.897624762
Median Absolute Deviation (MAD)0
Skewness5.419708519
Sum-22929
Variance0.3178581221
MonotonicityNot monotonic
2022-07-26T03:01:37.308228image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-211692
96.8%
1327
 
2.7%
264
 
0.5%
ValueCountFrequency (%)
-211692
96.8%
1327
 
2.7%
264
 
0.5%
ValueCountFrequency (%)
264
 
0.5%
1327
 
2.7%
-211692
96.8%

FUELH2O2
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.830422908
Minimum-2
Maximum21
Zeros0
Zeros (%)0.0%
Negative11693
Negative (%)96.8%
Memory size94.5 KiB
2022-07-26T03:01:37.340032image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum21
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.046491547
Coefficient of variation (CV)-0.5717211809
Kurtosis104.1905128
Mean-1.830422908
Median Absolute Deviation (MAD)0
Skewness8.39464248
Sum-22117
Variance1.095144557
MonotonicityNot monotonic
2022-07-26T03:01:37.369262image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
-211693
96.8%
5171
 
1.4%
1162
 
1.3%
229
 
0.2%
316
 
0.1%
86
 
< 0.1%
214
 
< 0.1%
72
 
< 0.1%
ValueCountFrequency (%)
-211693
96.8%
1162
 
1.3%
229
 
0.2%
316
 
0.1%
5171
 
1.4%
ValueCountFrequency (%)
214
 
< 0.1%
86
 
< 0.1%
72
 
< 0.1%
5171
1.4%
316
 
0.1%

WHEATSIZ2
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.889514193
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative11756
Negative (%)97.3%
Memory size94.5 KiB
2022-07-26T03:01:37.397608image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum3
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6730746019
Coefficient of variation (CV)-0.3562156898
Kurtosis36.33556745
Mean-1.889514193
Median Absolute Deviation (MAD)0
Skewness6.1074208
Sum-22831
Variance0.4530294197
MonotonicityNot monotonic
2022-07-26T03:01:37.427353image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-211756
97.3%
2154
 
1.3%
3100
 
0.8%
173
 
0.6%
ValueCountFrequency (%)
-211756
97.3%
173
 
0.6%
2154
 
1.3%
3100
 
0.8%
ValueCountFrequency (%)
3100
 
0.8%
2154
 
1.3%
173
 
0.6%
-211756
97.3%

WHEATAGE2
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.539187288
Minimum-2
Maximum42
Zeros0
Zeros (%)0.0%
Negative11692
Negative (%)96.8%
Memory size94.5 KiB
2022-07-26T03:01:37.457804image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum42
Range44
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.925352496
Coefficient of variation (CV)-2.550276063
Kurtosis111.1732978
Mean-1.539187288
Median Absolute Deviation (MAD)0
Skewness10.4833547
Sum-18598
Variance15.40839222
MonotonicityNot monotonic
2022-07-26T03:01:37.486126image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-211692
96.8%
3111
 
0.9%
295
 
0.8%
4167
 
0.6%
146
 
0.4%
542
 
0.3%
4230
 
0.2%
ValueCountFrequency (%)
-211692
96.8%
146
 
0.4%
295
 
0.8%
3111
 
0.9%
542
 
0.3%
ValueCountFrequency (%)
4230
 
0.2%
4167
0.6%
542
 
0.3%
3111
0.9%
295
0.8%

AIRCOND
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8226433833
Minimum0
Maximum1
Zeros2143
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:37.515420image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3819860248
Coefficient of variation (CV)0.4643397523
Kurtosis0.8548012082
Mean0.8226433833
Median Absolute Deviation (MAD)0
Skewness-1.689573836
Sum9940
Variance0.1459133232
MonotonicityNot monotonic
2022-07-26T03:01:37.544151image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
19940
82.3%
02143
 
17.7%
ValueCountFrequency (%)
02143
 
17.7%
19940
82.3%
ValueCountFrequency (%)
19940
82.3%
02143
 
17.7%

DNTAC
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.334354051
Minimum-2
Maximum2
Zeros0
Zeros (%)0.0%
Negative9940
Negative (%)82.3%
Memory size94.5 KiB
2022-07-26T03:01:37.573337image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile2
Maximum2
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.445105721
Coefficient of variation (CV)-1.083000212
Kurtosis1.122736986
Mean-1.334354051
Median Absolute Deviation (MAD)0
Skewness1.745407743
Sum-16123
Variance2.088330544
MonotonicityNot monotonic
2022-07-26T03:01:37.602300image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-29940
82.3%
21614
 
13.4%
1529
 
4.4%
ValueCountFrequency (%)
-29940
82.3%
1529
 
4.4%
21614
 
13.4%
ValueCountFrequency (%)
21614
 
13.4%
1529
 
4.4%
-29940
82.3%

COOLTYPENOAC
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.843499131
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative11554
Negative (%)95.6%
Memory size94.5 KiB
2022-07-26T03:01:37.633099image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum3
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7394939178
Coefficient of variation (CV)-0.4011360273
Kurtosis19.79226547
Mean-1.843499131
Median Absolute Deviation (MAD)0
Skewness4.61624007
Sum-22275
Variance0.5468512545
MonotonicityNot monotonic
2022-07-26T03:01:37.662940image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-211554
95.6%
2290
 
2.4%
1232
 
1.9%
37
 
0.1%
ValueCountFrequency (%)
-211554
95.6%
1232
 
1.9%
2290
 
2.4%
37
 
0.1%
ValueCountFrequency (%)
37
 
0.1%
2290
 
2.4%
1232
 
1.9%
-211554
95.6%

COOLTYPE
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7004882893
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative2143
Negative (%)17.7%
Memory size94.5 KiB
2022-07-26T03:01:37.691564image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q11
median1
Q31
95-th percentile2
Maximum3
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.328356615
Coefficient of variation (CV)1.89632951
Kurtosis0.3356754745
Mean0.7004882893
Median Absolute Deviation (MAD)0
Skewness-1.223834139
Sum8464
Variance1.764531296
MonotonicityNot monotonic
2022-07-26T03:01:37.721911image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
17283
60.3%
22504
 
20.7%
-22143
 
17.7%
3153
 
1.3%
ValueCountFrequency (%)
-22143
 
17.7%
17283
60.3%
22504
 
20.7%
3153
 
1.3%
ValueCountFrequency (%)
3153
 
1.3%
22504
 
20.7%
17283
60.3%
-22143
 
17.7%

DUCTS
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.892245303
Minimum-2
Maximum1
Zeros60
Zeros (%)0.5%
Negative11629
Negative (%)96.2%
Memory size94.5 KiB
2022-07-26T03:01:37.751413image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5493147365
Coefficient of variation (CV)-0.2902978465
Kurtosis22.77457093
Mean-1.892245303
Median Absolute Deviation (MAD)0
Skewness4.956461136
Sum-22864
Variance0.3017466798
MonotonicityNot monotonic
2022-07-26T03:01:37.778863image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-211629
96.2%
1394
 
3.3%
060
 
0.5%
ValueCountFrequency (%)
-211629
96.2%
060
 
0.5%
1394
 
3.3%
ValueCountFrequency (%)
1394
 
3.3%
060
 
0.5%
-211629
96.2%

CENACHP
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6587767938
Minimum-2
Maximum1
Zeros6102
Zeros (%)50.5%
Negative4647
Negative (%)38.5%
Memory size94.5 KiB
2022-07-26T03:01:37.809000image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median0
Q30
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.102214319
Coefficient of variation (CV)-1.673122565
Kurtosis-1.525903167
Mean-0.6587767938
Median Absolute Deviation (MAD)0
Skewness-0.2088689477
Sum-7960
Variance1.214876405
MonotonicityNot monotonic
2022-07-26T03:01:37.836816image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
06102
50.5%
-24647
38.5%
11334
 
11.0%
ValueCountFrequency (%)
-24647
38.5%
06102
50.5%
11334
 
11.0%
ValueCountFrequency (%)
11334
 
11.0%
06102
50.5%
-24647
38.5%

ACOTHERS
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7528759414
Minimum-2
Maximum1
Zeros7239
Zeros (%)59.9%
Negative4647
Negative (%)38.5%
Memory size94.5 KiB
2022-07-26T03:01:37.867363image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median0
Q30
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9939432354
Coefficient of variation (CV)-1.320195242
Kurtosis-1.691846729
Mean-0.7528759414
Median Absolute Deviation (MAD)0
Skewness-0.410007496
Sum-9097
Variance0.9879231552
MonotonicityNot monotonic
2022-07-26T03:01:37.895120image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
07239
59.9%
-24647
38.5%
1197
 
1.6%
ValueCountFrequency (%)
-24647
38.5%
07239
59.9%
1197
 
1.6%
ValueCountFrequency (%)
1197
 
1.6%
07239
59.9%
-24647
38.5%

MAINTAC
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5123727551
Minimum-2
Maximum1
Zeros4333
Zeros (%)35.9%
Negative4647
Negative (%)38.5%
Memory size94.5 KiB
2022-07-26T03:01:37.925593image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median0
Q31
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.238049989
Coefficient of variation (CV)-2.416307224
Kurtosis-1.615845188
Mean-0.5123727551
Median Absolute Deviation (MAD)1
Skewness-0.1737063523
Sum-6191
Variance1.532767776
MonotonicityNot monotonic
2022-07-26T03:01:37.953416image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-24647
38.5%
04333
35.9%
13103
25.7%
ValueCountFrequency (%)
-24647
38.5%
04333
35.9%
13103
25.7%
ValueCountFrequency (%)
13103
25.7%
04333
35.9%
-24647
38.5%

AGECENAC
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.459654059
Minimum-2
Maximum42
Zeros0
Zeros (%)0.0%
Negative4647
Negative (%)38.5%
Memory size94.5 KiB
2022-07-26T03:01:37.985432image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median2
Q35
95-th percentile42
Maximum42
Range44
Interquartile range (IQR)7

Descriptive statistics

Standard deviation16.29516143
Coefficient of variation (CV)1.926220779
Kurtosis0.2848344764
Mean8.459654059
Median Absolute Deviation (MAD)4
Skewness1.47120425
Sum102218
Variance265.5322862
MonotonicityNot monotonic
2022-07-26T03:01:38.012912image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-24647
38.5%
32269
18.8%
411626
 
13.5%
21237
 
10.2%
5925
 
7.7%
42721
 
6.0%
1658
 
5.4%
ValueCountFrequency (%)
-24647
38.5%
1658
 
5.4%
21237
 
10.2%
32269
18.8%
5925
 
7.7%
ValueCountFrequency (%)
42721
 
6.0%
411626
13.5%
5925
7.7%
32269
18.8%
21237
10.2%

REPLCCAC
Real number (ℝ)

ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.688901763
Minimum-9
Maximum1
Zeros438
Zeros (%)3.6%
Negative10460
Negative (%)86.6%
Memory size94.5 KiB
2022-07-26T03:01:38.041059image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile1
Maximum1
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.149032892
Coefficient of variation (CV)-0.6803432369
Kurtosis13.14611781
Mean-1.688901763
Median Absolute Deviation (MAD)0
Skewness-0.6919365333
Sum-20407
Variance1.320276587
MonotonicityNot monotonic
2022-07-26T03:01:38.069131image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-210364
85.8%
11185
 
9.8%
0438
 
3.6%
-996
 
0.8%
ValueCountFrequency (%)
-996
 
0.8%
-210364
85.8%
0438
 
3.6%
11185
 
9.8%
ValueCountFrequency (%)
11185
 
9.8%
0438
 
3.6%
-210364
85.8%
-996
 
0.8%

HELPCAC
Real number (ℝ)

ZEROS

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.406273277
Minimum-9
Maximum5
Zeros3328
Zeros (%)27.5%
Negative8493
Negative (%)70.3%
Memory size94.5 KiB
2022-07-26T03:01:38.097593image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q30
95-th percentile0
Maximum5
Range14
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.242178126
Coefficient of variation (CV)-0.8833120465
Kurtosis10.43839568
Mean-1.406273277
Median Absolute Deviation (MAD)0
Skewness-0.627407956
Sum-16992
Variance1.543006496
MonotonicityNot monotonic
2022-07-26T03:01:38.126619image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
-28404
69.6%
03328
 
27.5%
3118
 
1.0%
-989
 
0.7%
165
 
0.5%
264
 
0.5%
510
 
0.1%
45
 
< 0.1%
ValueCountFrequency (%)
-989
 
0.7%
-28404
69.6%
03328
 
27.5%
165
 
0.5%
264
 
0.5%
ValueCountFrequency (%)
510
 
0.1%
45
 
< 0.1%
3118
1.0%
264
0.5%
165
0.5%

HELPCACY
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.899611024
Minimum-9
Maximum6
Zeros0
Zeros (%)0.0%
Negative11816
Negative (%)97.8%
Memory size94.5 KiB
2022-07-26T03:01:38.158254image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum6
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.966121547
Coefficient of variation (CV)-0.5085891453
Kurtosis42.89686986
Mean-1.899611024
Median Absolute Deviation (MAD)0
Skewness3.730567148
Sum-22953
Variance0.9333908436
MonotonicityNot monotonic
2022-07-26T03:01:38.187101image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
-211772
97.4%
483
 
0.7%
353
 
0.4%
-944
 
0.4%
640
 
0.3%
533
 
0.3%
233
 
0.3%
125
 
0.2%
ValueCountFrequency (%)
-944
 
0.4%
-211772
97.4%
125
 
0.2%
233
 
0.3%
353
 
0.4%
ValueCountFrequency (%)
640
0.3%
533
 
0.3%
483
0.7%
353
0.4%
233
 
0.3%

ACROOMS
Real number (ℝ)

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.929901515
Minimum-2
Maximum23
Zeros0
Zeros (%)0.0%
Negative4647
Negative (%)38.5%
Memory size94.5 KiB
2022-07-26T03:01:38.301565image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median4
Q36
95-th percentile9
Maximum23
Range25
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.230289665
Coefficient of variation (CV)1.4438334
Kurtosis-1.343063096
Mean2.929901515
Median Absolute Deviation (MAD)4
Skewness0.0006008669712
Sum35402
Variance17.89535065
MonotonicityNot monotonic
2022-07-26T03:01:38.334582image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
-24647
38.5%
61541
 
12.8%
51433
 
11.9%
71166
 
9.6%
41037
 
8.6%
8778
 
6.4%
3436
 
3.6%
9424
 
3.5%
10211
 
1.7%
1120
 
1.0%
Other values (11)290
 
2.4%
ValueCountFrequency (%)
-24647
38.5%
1120
 
1.0%
2108
 
0.9%
3436
 
3.6%
41037
 
8.6%
ValueCountFrequency (%)
231
< 0.1%
191
< 0.1%
181
< 0.1%
172
< 0.1%
162
< 0.1%

USECENAC
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6051477282
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative4647
Negative (%)38.5%
Memory size94.5 KiB
2022-07-26T03:01:38.363930image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median1
Q33
95-th percentile3
Maximum3
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.167943754
Coefficient of variation (CV)3.582503334
Kurtosis-1.70369484
Mean0.6051477282
Median Absolute Deviation (MAD)2
Skewness-0.2052368165
Sum7312
Variance4.69998012
MonotonicityNot monotonic
2022-07-26T03:01:38.393133image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-24647
38.5%
33838
31.8%
12104
17.4%
21494
 
12.4%
ValueCountFrequency (%)
-24647
38.5%
12104
17.4%
21494
 
12.4%
33838
31.8%
ValueCountFrequency (%)
33838
31.8%
21494
 
12.4%
12104
17.4%
-24647
38.5%

THERMAINAC
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1657700902
Minimum-2
Maximum1
Zeros145
Zeros (%)1.2%
Negative4647
Negative (%)38.5%
Memory size94.5 KiB
2022-07-26T03:01:38.421688image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median1
Q31
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.454119906
Coefficient of variation (CV)-8.771907549
Kurtosis-1.777097565
Mean-0.1657700902
Median Absolute Deviation (MAD)0
Skewness-0.4610710261
Sum-2003
Variance2.1144647
MonotonicityNot monotonic
2022-07-26T03:01:38.449497image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
17291
60.3%
-24647
38.5%
0145
 
1.2%
ValueCountFrequency (%)
-24647
38.5%
0145
 
1.2%
17291
60.3%
ValueCountFrequency (%)
17291
60.3%
0145
 
1.2%
-24647
38.5%

PROTHERMAC
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4902755938
Minimum-2
Maximum1
Zeros3631
Zeros (%)30.1%
Negative4792
Negative (%)39.7%
Memory size94.5 KiB
2022-07-26T03:01:38.479953image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median0
Q31
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.284146498
Coefficient of variation (CV)-2.619233986
Kurtosis-1.686506238
Mean-0.4902755938
Median Absolute Deviation (MAD)1
Skewness-0.1543307238
Sum-5924
Variance1.649032228
MonotonicityNot monotonic
2022-07-26T03:01:38.507788image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-24792
39.7%
13660
30.3%
03631
30.1%
ValueCountFrequency (%)
-24792
39.7%
03631
30.1%
13660
30.3%
ValueCountFrequency (%)
13660
30.3%
03631
30.1%
-24792
39.7%

AUTOCOOLNITE
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.212364479
Minimum-2
Maximum1
Zeros1463
Zeros (%)12.1%
Negative8423
Negative (%)69.7%
Memory size94.5 KiB
2022-07-26T03:01:38.538347image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q30
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.224950051
Coefficient of variation (CV)-1.010381014
Kurtosis-0.8294740901
Mean-1.212364479
Median Absolute Deviation (MAD)0
Skewness1.003517623
Sum-14649
Variance1.500502628
MonotonicityNot monotonic
2022-07-26T03:01:38.566643image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-28423
69.7%
12197
 
18.2%
01463
 
12.1%
ValueCountFrequency (%)
-28423
69.7%
01463
 
12.1%
12197
 
18.2%
ValueCountFrequency (%)
12197
 
18.2%
01463
 
12.1%
-28423
69.7%

AUTOCOOLDAY
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.213440371
Minimum-2
Maximum1
Zeros1476
Zeros (%)12.2%
Negative8423
Negative (%)69.7%
Memory size94.5 KiB
2022-07-26T03:01:38.597522image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q30
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.223444534
Coefficient of variation (CV)-1.008244462
Kurtosis-0.8257096192
Mean-1.213440371
Median Absolute Deviation (MAD)0
Skewness1.004549182
Sum-14662
Variance1.496816527
MonotonicityNot monotonic
2022-07-26T03:01:38.626238image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-28423
69.7%
12184
 
18.1%
01476
 
12.2%
ValueCountFrequency (%)
-28423
69.7%
01476
 
12.2%
12184
 
18.1%
ValueCountFrequency (%)
12184
 
18.1%
01476
 
12.2%
-28423
69.7%

TEMPHOMEAC
Real number (ℝ)

Distinct30
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.20475048
Minimum-2
Maximum88
Zeros0
Zeros (%)0.0%
Negative6751
Negative (%)55.9%
Memory size94.5 KiB
2022-07-26T03:01:38.663313image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q372
95-th percentile78
Maximum88
Range90
Interquartile range (IQR)74

Descriptive statistics

Standard deviation37.46056299
Coefficient of variation (CV)1.200476287
Kurtosis-1.917484303
Mean31.20475048
Median Absolute Deviation (MAD)0
Skewness0.2516978441
Sum377047
Variance1403.29378
MonotonicityNot monotonic
2022-07-26T03:01:38.700135image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
-26751
55.9%
70847
 
7.0%
72839
 
6.9%
78695
 
5.8%
75649
 
5.4%
74432
 
3.6%
76374
 
3.1%
68323
 
2.7%
73216
 
1.8%
80195
 
1.6%
Other values (20)762
 
6.3%
ValueCountFrequency (%)
-26751
55.9%
451
 
< 0.1%
504
 
< 0.1%
553
 
< 0.1%
6049
 
0.4%
ValueCountFrequency (%)
881
 
< 0.1%
8511
0.1%
845
 
< 0.1%
831
 
< 0.1%
8217
0.1%

TEMPGONEAC
Real number (ℝ)

Distinct37
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.05081519
Minimum-2
Maximum96
Zeros0
Zeros (%)0.0%
Negative6751
Negative (%)55.9%
Memory size94.5 KiB
2022-07-26T03:01:38.740303image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q375
95-th percentile80
Maximum96
Range98
Interquartile range (IQR)77

Descriptive statistics

Standard deviation38.45267538
Coefficient of variation (CV)1.199740947
Kurtosis-1.905241668
Mean32.05081519
Median Absolute Deviation (MAD)0
Skewness0.2578661569
Sum387270
Variance1478.608244
MonotonicityNot monotonic
2022-07-26T03:01:38.781529image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
-26751
55.9%
78802
 
6.6%
80675
 
5.6%
75670
 
5.5%
70621
 
5.1%
72568
 
4.7%
74352
 
2.9%
76318
 
2.6%
68230
 
1.9%
73154
 
1.3%
Other values (27)942
 
7.8%
ValueCountFrequency (%)
-26751
55.9%
401
 
< 0.1%
451
 
< 0.1%
6033
 
0.3%
628
 
0.1%
ValueCountFrequency (%)
965
 
< 0.1%
958
 
0.1%
941
 
< 0.1%
931
 
< 0.1%
9033
0.3%

TEMPNITEAC
Real number (ℝ)

Distinct37
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.10651328
Minimum-2
Maximum96
Zeros0
Zeros (%)0.0%
Negative6751
Negative (%)55.9%
Memory size94.5 KiB
2022-07-26T03:01:38.823529image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q372
95-th percentile78
Maximum96
Range98
Interquartile range (IQR)74

Descriptive statistics

Standard deviation37.36156362
Coefficient of variation (CV)1.201084907
Kurtosis-1.913554632
Mean31.10651328
Median Absolute Deviation (MAD)0
Skewness0.2536913635
Sum375860
Variance1395.886436
MonotonicityNot monotonic
2022-07-26T03:01:38.864728image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
-26751
55.9%
70892
 
7.4%
72793
 
6.6%
75618
 
5.1%
78594
 
4.9%
74425
 
3.5%
68380
 
3.1%
76346
 
2.9%
80219
 
1.8%
73205
 
1.7%
Other values (27)860
 
7.1%
ValueCountFrequency (%)
-26751
55.9%
452
 
< 0.1%
501
 
< 0.1%
553
 
< 0.1%
581
 
< 0.1%
ValueCountFrequency (%)
961
 
< 0.1%
941
 
< 0.1%
903
< 0.1%
881
 
< 0.1%
871
 
< 0.1%

NUMBERAC
Real number (ℝ)

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.161880328
Minimum-2
Maximum9
Zeros0
Zeros (%)0.0%
Negative9426
Negative (%)78.0%
Memory size94.5 KiB
2022-07-26T03:01:38.901289image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile2
Maximum9
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.648999388
Coefficient of variation (CV)-1.41925063
Kurtosis1.817800068
Mean-1.161880328
Median Absolute Deviation (MAD)0
Skewness1.721002855
Sum-14039
Variance2.71919898
MonotonicityNot monotonic
2022-07-26T03:01:38.930588image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-29426
78.0%
11296
 
10.7%
2814
 
6.7%
3378
 
3.1%
4120
 
1.0%
530
 
0.2%
612
 
0.1%
74
 
< 0.1%
82
 
< 0.1%
91
 
< 0.1%
ValueCountFrequency (%)
-29426
78.0%
11296
 
10.7%
2814
 
6.7%
3378
 
3.1%
4120
 
1.0%
ValueCountFrequency (%)
91
 
< 0.1%
82
 
< 0.1%
74
 
< 0.1%
612
 
0.1%
530
0.2%

WWACAGE
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3708516097
Minimum-2
Maximum42
Zeros0
Zeros (%)0.0%
Negative9426
Negative (%)78.0%
Memory size94.5 KiB
2022-07-26T03:01:38.961056image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile3
Maximum42
Range44
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.090262263
Coefficient of variation (CV)21.8153624
Kurtosis20.44147036
Mean0.3708516097
Median Absolute Deviation (MAD)0
Skewness4.623770108
Sum4481
Variance65.45234348
MonotonicityNot monotonic
2022-07-26T03:01:38.989308image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-29426
78.0%
3840
 
7.0%
2823
 
6.8%
1390
 
3.2%
41338
 
2.8%
5169
 
1.4%
4297
 
0.8%
ValueCountFrequency (%)
-29426
78.0%
1390
 
3.2%
2823
 
6.8%
3840
 
7.0%
5169
 
1.4%
ValueCountFrequency (%)
4297
 
0.8%
41338
2.8%
5169
 
1.4%
3840
7.0%
2823
6.8%

ESWWAC
Real number (ℝ)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.710254076
Minimum-9
Maximum1
Zeros679
Zeros (%)5.6%
Negative10228
Negative (%)84.6%
Memory size94.5 KiB
2022-07-26T03:01:39.018491image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile1
Maximum1
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.348624574
Coefficient of variation (CV)-0.7885521762
Kurtosis12.70008634
Mean-1.710254076
Median Absolute Deviation (MAD)0
Skewness-1.687380775
Sum-20665
Variance1.81878824
MonotonicityNot monotonic
2022-07-26T03:01:39.046462image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-210030
83.0%
11176
 
9.7%
0679
 
5.6%
-9197
 
1.6%
-81
 
< 0.1%
ValueCountFrequency (%)
-9197
 
1.6%
-81
 
< 0.1%
-210030
83.0%
0679
 
5.6%
11176
 
9.7%
ValueCountFrequency (%)
11176
 
9.7%
0679
 
5.6%
-210030
83.0%
-81
 
< 0.1%
-9197
 
1.6%

REPLCWWAC
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.77199371
Minimum-9
Maximum1
Zeros93
Zeros (%)0.8%
Negative11024
Negative (%)91.2%
Memory size94.5 KiB
2022-07-26T03:01:39.074957image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile1
Maximum1
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9428655369
Coefficient of variation (CV)-0.5320930495
Kurtosis16.51618315
Mean-1.77199371
Median Absolute Deviation (MAD)0
Skewness0.3174992822
Sum-21411
Variance0.8889954206
MonotonicityNot monotonic
2022-07-26T03:01:39.102616image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-210977
90.8%
1966
 
8.0%
093
 
0.8%
-947
 
0.4%
ValueCountFrequency (%)
-947
 
0.4%
-210977
90.8%
093
 
0.8%
1966
 
8.0%
ValueCountFrequency (%)
1966
 
8.0%
093
 
0.8%
-210977
90.8%
-947
 
0.4%

HELPWWAC
Real number (ℝ)

ZEROS

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.840602499
Minimum-9
Maximum5
Zeros936
Zeros (%)7.7%
Negative11122
Negative (%)92.0%
Memory size94.5 KiB
2022-07-26T03:01:39.130638image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile0
Maximum5
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5777563369
Coefficient of variation (CV)-0.3138952257
Kurtosis20.06474471
Mean-1.840602499
Median Absolute Deviation (MAD)0
Skewness2.306091321
Sum-22240
Variance0.3338023849
MonotonicityNot monotonic
2022-07-26T03:01:39.238089image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-211117
92.0%
0936
 
7.7%
119
 
0.2%
-95
 
< 0.1%
52
 
< 0.1%
22
 
< 0.1%
32
 
< 0.1%
ValueCountFrequency (%)
-95
 
< 0.1%
-211117
92.0%
0936
 
7.7%
119
 
0.2%
22
 
< 0.1%
ValueCountFrequency (%)
52
 
< 0.1%
32
 
< 0.1%
22
 
< 0.1%
119
 
0.2%
0936
7.7%

HELPWWACY
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.99354465
Minimum-9
Maximum4
Zeros0
Zeros (%)0.0%
Negative12059
Negative (%)99.8%
Memory size94.5 KiB
2022-07-26T03:01:39.267376image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum4
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2755705407
Coefficient of variation (CV)-0.1382314365
Kurtosis466.1751548
Mean-1.99354465
Median Absolute Deviation (MAD)0
Skewness5.008950816
Sum-24088
Variance0.07593912288
MonotonicityNot monotonic
2022-07-26T03:01:39.297950image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-212053
99.8%
49
 
0.1%
39
 
0.1%
-96
 
< 0.1%
13
 
< 0.1%
23
 
< 0.1%
ValueCountFrequency (%)
-96
 
< 0.1%
-212053
99.8%
13
 
< 0.1%
23
 
< 0.1%
39
 
0.1%
ValueCountFrequency (%)
49
 
0.1%
39
 
0.1%
23
 
< 0.1%
13
 
< 0.1%
-212053
99.8%

USEWWAC
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.194736407
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative9426
Negative (%)78.0%
Memory size94.5 KiB
2022-07-26T03:01:39.327371image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile2
Maximum3
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.565138789
Coefficient of variation (CV)-1.310028539
Kurtosis0.9058035316
Mean-1.194736407
Median Absolute Deviation (MAD)0
Skewness1.586619816
Sum-14436
Variance2.44965943
MonotonicityNot monotonic
2022-07-26T03:01:39.356255image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-29426
78.0%
11501
 
12.4%
3603
 
5.0%
2553
 
4.6%
ValueCountFrequency (%)
-29426
78.0%
11501
 
12.4%
2553
 
4.6%
3603
 
5.0%
ValueCountFrequency (%)
3603
 
5.0%
2553
 
4.6%
11501
 
12.4%
-29426
78.0%

NUMCFAN
Real number (ℝ≥0)

ZEROS

Distinct16
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.115948026
Minimum0
Maximum15
Zeros3321
Zeros (%)27.5%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:39.387095image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q33
95-th percentile6
Maximum15
Range15
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.02035161
Coefficient of variation (CV)0.9548209997
Kurtosis0.6468174796
Mean2.115948026
Median Absolute Deviation (MAD)2
Skewness0.9453063231
Sum25567
Variance4.081820627
MonotonicityNot monotonic
2022-07-26T03:01:39.419471image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
03321
27.5%
12422
20.0%
21940
16.1%
31451
12.0%
41265
 
10.5%
5826
 
6.8%
6537
 
4.4%
7180
 
1.5%
876
 
0.6%
943
 
0.4%
Other values (6)22
 
0.2%
ValueCountFrequency (%)
03321
27.5%
12422
20.0%
21940
16.1%
31451
12.0%
41265
 
10.5%
ValueCountFrequency (%)
151
< 0.1%
142
< 0.1%
132
< 0.1%
122
< 0.1%
112
< 0.1%

USECFAN
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.999172391
Minimum-2
Maximum4
Zeros0
Zeros (%)0.0%
Negative3321
Negative (%)27.5%
Memory size94.5 KiB
2022-07-26T03:01:39.452174image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median1
Q33
95-th percentile3
Maximum4
Range6
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.010030956
Coefficient of variation (CV)2.011695853
Kurtosis-1.187487568
Mean0.999172391
Median Absolute Deviation (MAD)2
Skewness-0.5100519099
Sum12073
Variance4.040224443
MonotonicityNot monotonic
2022-07-26T03:01:39.480579image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-23321
27.5%
33166
26.2%
12855
23.6%
22301
19.0%
4440
 
3.6%
ValueCountFrequency (%)
-23321
27.5%
12855
23.6%
22301
19.0%
33166
26.2%
4440
 
3.6%
ValueCountFrequency (%)
4440
 
3.6%
33166
26.2%
22301
19.0%
12855
23.6%
-23321
27.5%

TREESHAD
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4474054457
Minimum0
Maximum1
Zeros6677
Zeros (%)55.3%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:39.511321image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4972466952
Coefficient of variation (CV)1.111400632
Kurtosis-1.955558413
Mean0.4474054457
Median Absolute Deviation (MAD)0
Skewness0.2115781234
Sum5406
Variance0.2472542758
MonotonicityNot monotonic
2022-07-26T03:01:39.540809image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
06677
55.3%
15406
44.7%
ValueCountFrequency (%)
06677
55.3%
15406
44.7%
ValueCountFrequency (%)
15406
44.7%
06677
55.3%

NOTMOIST
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.134155425
Minimum0
Maximum1
Zeros10462
Zeros (%)86.6%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:39.570727image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3408333332
Coefficient of variation (CV)2.540585543
Kurtosis2.61055907
Mean0.134155425
Median Absolute Deviation (MAD)0
Skewness2.147120628
Sum1621
Variance0.116167361
MonotonicityNot monotonic
2022-07-26T03:01:39.599466image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
010462
86.6%
11621
 
13.4%
ValueCountFrequency (%)
010462
86.6%
11621
 
13.4%
ValueCountFrequency (%)
11621
 
13.4%
010462
86.6%

USENOTMOIST
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.44417777
Minimum-2
Maximum5
Zeros0
Zeros (%)0.0%
Negative10462
Negative (%)86.6%
Memory size94.5 KiB
2022-07-26T03:01:39.628847image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile2
Maximum5
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.503268466
Coefficient of variation (CV)-1.040916497
Kurtosis6.877995026
Mean-1.44417777
Median Absolute Deviation (MAD)0
Skewness2.746348657
Sum-17450
Variance2.259816082
MonotonicityNot monotonic
2022-07-26T03:01:39.657354image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-210462
86.6%
1714
 
5.9%
2501
 
4.1%
5252
 
2.1%
3118
 
1.0%
436
 
0.3%
ValueCountFrequency (%)
-210462
86.6%
1714
 
5.9%
2501
 
4.1%
3118
 
1.0%
436
 
0.3%
ValueCountFrequency (%)
5252
 
2.1%
436
 
0.3%
3118
 
1.0%
2501
4.1%
1714
5.9%

HIGHCEIL
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1939915584
Minimum-2
Maximum1
Zeros8116
Zeros (%)67.2%
Negative541
Negative (%)4.5%
Memory size94.5 KiB
2022-07-26T03:01:39.687931image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6519477767
Coefficient of variation (CV)3.360701786
Kurtosis3.413267643
Mean0.1939915584
Median Absolute Deviation (MAD)0
Skewness-1.188634999
Sum2344
Variance0.4250359036
MonotonicityNot monotonic
2022-07-26T03:01:39.715319image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
08116
67.2%
13426
28.4%
-2541
 
4.5%
ValueCountFrequency (%)
-2541
 
4.5%
08116
67.2%
13426
28.4%
ValueCountFrequency (%)
13426
28.4%
08116
67.2%
-2541
 
4.5%

CATHCEIL
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.261524456
Minimum-2
Maximum1
Zeros1355
Zeros (%)11.2%
Negative8657
Negative (%)71.6%
Memory size94.5 KiB
2022-07-26T03:01:39.745483image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q30
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.202463355
Coefficient of variation (CV)-0.9531827537
Kurtosis-0.6171113505
Mean-1.261524456
Median Absolute Deviation (MAD)0
Skewness1.104043986
Sum-15243
Variance1.445918119
MonotonicityNot monotonic
2022-07-26T03:01:39.771978image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-28657
71.6%
12071
 
17.1%
01355
 
11.2%
ValueCountFrequency (%)
-28657
71.6%
01355
 
11.2%
12071
 
17.1%
ValueCountFrequency (%)
12071
 
17.1%
01355
 
11.2%
-28657
71.6%

SWIMPOOL
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4868823968
Minimum-2
Maximum1
Zeros7796
Zeros (%)64.5%
Negative3390
Negative (%)28.1%
Memory size94.5 KiB
2022-07-26T03:01:39.801361image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median0
Q30
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9795403648
Coefficient of variation (CV)-2.011862354
Kurtosis-0.9686132783
Mean-0.4868823968
Median Absolute Deviation (MAD)0
Skewness-0.6954269891
Sum-5883
Variance0.9594993263
MonotonicityNot monotonic
2022-07-26T03:01:39.827860image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
07796
64.5%
-23390
28.1%
1897
 
7.4%
ValueCountFrequency (%)
-23390
28.1%
07796
64.5%
1897
 
7.4%
ValueCountFrequency (%)
1897
 
7.4%
07796
64.5%
-23390
28.1%

POOL
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.831912604
Minimum-2
Maximum1
Zeros660
Zeros (%)5.5%
Negative11186
Negative (%)92.6%
Memory size94.5 KiB
2022-07-26T03:01:39.857026image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6056358455
Coefficient of variation (CV)-0.3306030233
Kurtosis10.96183794
Mean-1.831912604
Median Absolute Deviation (MAD)0
Skewness3.498014005
Sum-22135
Variance0.3667947773
MonotonicityNot monotonic
2022-07-26T03:01:39.883887image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-211186
92.6%
0660
 
5.5%
1237
 
2.0%
ValueCountFrequency (%)
-211186
92.6%
0660
 
5.5%
1237
 
2.0%
ValueCountFrequency (%)
1237
 
2.0%
0660
 
5.5%
-211186
92.6%

FUELPOOL
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.898783415
Minimum-2
Maximum21
Zeros0
Zeros (%)0.0%
Negative11846
Negative (%)98.0%
Memory size94.5 KiB
2022-07-26T03:01:39.913668image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum21
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8158143562
Coefficient of variation (CV)-0.429651086
Kurtosis134.0524077
Mean-1.898783415
Median Absolute Deviation (MAD)0
Skewness10.25525861
Sum-22943
Variance0.6655530637
MonotonicityNot monotonic
2022-07-26T03:01:39.942814image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-211846
98.0%
1118
 
1.0%
560
 
0.5%
832
 
0.3%
224
 
0.2%
32
 
< 0.1%
211
 
< 0.1%
ValueCountFrequency (%)
-211846
98.0%
1118
 
1.0%
224
 
0.2%
32
 
< 0.1%
560
 
0.5%
ValueCountFrequency (%)
211
 
< 0.1%
832
0.3%
560
0.5%
32
 
< 0.1%
224
 
0.2%

RECBATH
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0574360672
Minimum0
Maximum1
Zeros11389
Zeros (%)94.3%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:39.972011image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2326835753
Coefficient of variation (CV)4.051175274
Kurtosis12.47725789
Mean0.0574360672
Median Absolute Deviation (MAD)0
Skewness3.804627795
Sum694
Variance0.0541416462
MonotonicityNot monotonic
2022-07-26T03:01:40.000617image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
011389
94.3%
1694
 
5.7%
ValueCountFrequency (%)
011389
94.3%
1694
 
5.7%
ValueCountFrequency (%)
1694
 
5.7%
011389
94.3%

FUELTUB
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.653976661
Minimum-2
Maximum21
Zeros0
Zeros (%)0.0%
Negative11389
Negative (%)94.3%
Memory size94.5 KiB
2022-07-26T03:01:40.029239image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile1
Maximum21
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.488583616
Coefficient of variation (CV)-0.9000027934
Kurtosis27.60881849
Mean-1.653976661
Median Absolute Deviation (MAD)0
Skewness4.740000765
Sum-19985
Variance2.21588118
MonotonicityNot monotonic
2022-07-26T03:01:40.058438image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-211389
94.3%
5493
 
4.1%
1168
 
1.4%
218
 
0.1%
37
 
0.1%
85
 
< 0.1%
213
 
< 0.1%
ValueCountFrequency (%)
-211389
94.3%
1168
 
1.4%
218
 
0.1%
37
 
0.1%
5493
 
4.1%
ValueCountFrequency (%)
213
 
< 0.1%
85
 
< 0.1%
5493
4.1%
37
 
0.1%
218
 
0.1%

LGT12
Real number (ℝ≥0)

ZEROS

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4417777042
Minimum0
Maximum40
Zeros9434
Zeros (%)78.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:40.091454image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum40
Range40
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.228819583
Coefficient of variation (CV)2.781533725
Kurtosis163.272254
Mean0.4417777042
Median Absolute Deviation (MAD)0
Skewness8.457208993
Sum5338
Variance1.509997568
MonotonicityNot monotonic
2022-07-26T03:01:40.126474image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
09434
78.1%
11367
 
11.3%
2694
 
5.7%
3300
 
2.5%
4137
 
1.1%
549
 
0.4%
641
 
0.3%
817
 
0.1%
714
 
0.1%
1011
 
0.1%
Other values (10)19
 
0.2%
ValueCountFrequency (%)
09434
78.1%
11367
 
11.3%
2694
 
5.7%
3300
 
2.5%
4137
 
1.1%
ValueCountFrequency (%)
401
< 0.1%
301
< 0.1%
281
< 0.1%
201
< 0.1%
181
< 0.1%

LGT12EE
Real number (ℝ)

ZEROS

Distinct16
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.34519573
Minimum-9
Maximum15
Zeros1079
Zeros (%)8.9%
Negative9448
Negative (%)78.2%
Memory size94.5 KiB
2022-07-26T03:01:40.243149image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile2
Maximum15
Range24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.42358142
Coefficient of variation (CV)-1.058270844
Kurtosis9.440613501
Mean-1.34519573
Median Absolute Deviation (MAD)0
Skewness2.225497377
Sum-16254
Variance2.02658406
MonotonicityNot monotonic
2022-07-26T03:01:40.276400image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-29434
78.1%
01079
 
8.9%
1887
 
7.3%
2415
 
3.4%
3140
 
1.2%
457
 
0.5%
524
 
0.2%
615
 
0.1%
-914
 
0.1%
76
 
< 0.1%
Other values (6)12
 
0.1%
ValueCountFrequency (%)
-914
 
0.1%
-29434
78.1%
01079
 
8.9%
1887
 
7.3%
2415
 
3.4%
ValueCountFrequency (%)
151
< 0.1%
141
< 0.1%
122
< 0.1%
102
< 0.1%
92
< 0.1%

LGT4
Real number (ℝ≥0)

ZEROS

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.71248862
Minimum0
Maximum30
Zeros4335
Zeros (%)35.9%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:40.310878image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum30
Range30
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.185208311
Coefficient of variation (CV)1.27604253
Kurtosis22.25758949
Mean1.71248862
Median Absolute Deviation (MAD)1
Skewness3.361292784
Sum20692
Variance4.775135364
MonotonicityNot monotonic
2022-07-26T03:01:40.345757image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
04335
35.9%
22519
20.8%
12241
18.5%
31326
 
11.0%
4812
 
6.7%
5314
 
2.6%
6243
 
2.0%
877
 
0.6%
1068
 
0.6%
740
 
0.3%
Other values (15)108
 
0.9%
ValueCountFrequency (%)
04335
35.9%
12241
18.5%
22519
20.8%
31326
 
11.0%
4812
 
6.7%
ValueCountFrequency (%)
303
< 0.1%
241
 
< 0.1%
231
 
< 0.1%
223
< 0.1%
211
 
< 0.1%

LGT4EE
Real number (ℝ)

ZEROS

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1146238517
Minimum-9
Maximum30
Zeros2949
Zeros (%)24.4%
Negative4411
Negative (%)36.5%
Memory size94.5 KiB
2022-07-26T03:01:40.383035image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median0
Q31
95-th percentile4
Maximum30
Range39
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.303604158
Coefficient of variation (CV)20.09707512
Kurtosis11.82881381
Mean0.1146238517
Median Absolute Deviation (MAD)2
Skewness1.365914276
Sum1385
Variance5.306592118
MonotonicityNot monotonic
2022-07-26T03:01:40.417855image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
-24335
35.9%
02949
24.4%
11818
15.0%
21538
 
12.7%
3647
 
5.4%
4382
 
3.2%
5136
 
1.1%
6102
 
0.8%
-973
 
0.6%
831
 
0.3%
Other values (11)72
 
0.6%
ValueCountFrequency (%)
-973
 
0.6%
-83
 
< 0.1%
-24335
35.9%
02949
24.4%
11818
15.0%
ValueCountFrequency (%)
302
 
< 0.1%
251
 
< 0.1%
207
0.1%
157
0.1%
142
 
< 0.1%

LGT1
Real number (ℝ≥0)

ZEROS

Distinct34
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.396341968
Minimum0
Maximum40
Zeros1898
Zeros (%)15.7%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:40.458017image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile6
Maximum40
Range40
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.532603465
Coefficient of variation (CV)1.056862292
Kurtosis28.9196032
Mean2.396341968
Median Absolute Deviation (MAD)1
Skewness3.876949337
Sum28955
Variance6.414080311
MonotonicityNot monotonic
2022-07-26T03:01:40.497437image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
23256
26.9%
12778
23.0%
01898
15.7%
31723
14.3%
41080
 
8.9%
5474
 
3.9%
6320
 
2.6%
8133
 
1.1%
10114
 
0.9%
7108
 
0.9%
Other values (24)199
 
1.6%
ValueCountFrequency (%)
01898
15.7%
12778
23.0%
23256
26.9%
31723
14.3%
41080
 
8.9%
ValueCountFrequency (%)
401
 
< 0.1%
351
 
< 0.1%
341
 
< 0.1%
331
 
< 0.1%
305
< 0.1%

LGT1EE
Real number (ℝ)

ZEROS

Distinct29
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8155259455
Minimum-9
Maximum40
Zeros4119
Zeros (%)34.1%
Negative1983
Negative (%)16.4%
Memory size94.5 KiB
2022-07-26T03:01:40.537133image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q10
median0
Q32
95-th percentile4
Maximum40
Range49
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.35985796
Coefficient of variation (CV)2.893663866
Kurtosis21.81018699
Mean0.8155259455
Median Absolute Deviation (MAD)1
Skewness1.902990198
Sum9854
Variance5.568929592
MonotonicityNot monotonic
2022-07-26T03:01:40.576038image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
04119
34.1%
12153
17.8%
21971
16.3%
-21898
15.7%
3832
 
6.9%
4491
 
4.1%
5207
 
1.7%
6133
 
1.1%
-983
 
0.7%
845
 
0.4%
Other values (19)151
 
1.2%
ValueCountFrequency (%)
-983
 
0.7%
-82
 
< 0.1%
-21898
15.7%
04119
34.1%
12153
17.8%
ValueCountFrequency (%)
401
< 0.1%
351
< 0.1%
301
< 0.1%
281
< 0.1%
252
< 0.1%

NOUTLGTNT
Real number (ℝ)

ZEROS

Distinct16
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1512041711
Minimum-2
Maximum15
Zeros5850
Zeros (%)48.4%
Negative3390
Negative (%)28.1%
Memory size94.5 KiB
2022-07-26T03:01:40.611760image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median0
Q30
95-th percentile2
Maximum15
Range17
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.551327586
Coefficient of variation (CV)-10.25982005
Kurtosis13.45602627
Mean-0.1512041711
Median Absolute Deviation (MAD)1
Skewness1.978761723
Sum-1827
Variance2.40661728
MonotonicityNot monotonic
2022-07-26T03:01:40.644835image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
05850
48.4%
-23390
28.1%
11808
 
15.0%
2594
 
4.9%
3231
 
1.9%
4103
 
0.9%
530
 
0.2%
622
 
0.2%
813
 
0.1%
1011
 
0.1%
Other values (6)31
 
0.3%
ValueCountFrequency (%)
-23390
28.1%
05850
48.4%
11808
 
15.0%
2594
 
4.9%
3231
 
1.9%
ValueCountFrequency (%)
1510
0.1%
133
 
< 0.1%
127
0.1%
111
 
< 0.1%
1011
0.1%

LGTOEE
Real number (ℝ)

ZEROS

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.357940909
Minimum-9
Maximum15
Zeros1272
Zeros (%)10.5%
Negative9296
Negative (%)76.9%
Memory size94.5 KiB
2022-07-26T03:01:40.679629image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile1
Maximum15
Range24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.48676514
Coefficient of variation (CV)-1.094867332
Kurtosis13.51637812
Mean-1.357940909
Median Absolute Deviation (MAD)0
Skewness1.715845159
Sum-16408
Variance2.210470582
MonotonicityNot monotonic
2022-07-26T03:01:40.712456image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
-29240
76.5%
01272
 
10.5%
1960
 
7.9%
2319
 
2.6%
3135
 
1.1%
-956
 
0.5%
454
 
0.4%
515
 
0.1%
69
 
0.1%
87
 
0.1%
Other values (5)16
 
0.1%
ValueCountFrequency (%)
-956
 
0.5%
-29240
76.5%
01272
 
10.5%
1960
 
7.9%
2319
 
2.6%
ValueCountFrequency (%)
155
< 0.1%
131
 
< 0.1%
112
 
< 0.1%
102
 
< 0.1%
87
0.1%

NGASLIGHT
Real number (ℝ)

ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.527600761
Minimum-2
Maximum2
Zeros2823
Zeros (%)23.4%
Negative9240
Negative (%)76.5%
Memory size94.5 KiB
2022-07-26T03:01:40.743282image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile0
Maximum2
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8529307754
Coefficient of variation (CV)-0.5583466551
Kurtosis-0.3600164171
Mean-1.527600761
Median Absolute Deviation (MAD)0
Skewness1.263091977
Sum-18458
Variance0.7274909076
MonotonicityNot monotonic
2022-07-26T03:01:40.772122image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-29240
76.5%
02823
 
23.4%
118
 
0.1%
22
 
< 0.1%
ValueCountFrequency (%)
-29240
76.5%
02823
 
23.4%
118
 
0.1%
22
 
< 0.1%
ValueCountFrequency (%)
22
 
< 0.1%
118
 
0.1%
02823
 
23.4%
-29240
76.5%

INSTLCFL
Real number (ℝ)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2305718778
Minimum-9
Maximum1
Zeros853
Zeros (%)7.1%
Negative4663
Negative (%)38.6%
Memory size94.5 KiB
2022-07-26T03:01:40.803568image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median1
Q31
95-th percentile1
Maximum1
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.434655919
Coefficient of variation (CV)-6.222163484
Kurtosis-1.395589897
Mean-0.2305718778
Median Absolute Deviation (MAD)0
Skewness-0.4500784513
Sum-2786
Variance2.058237605
MonotonicityNot monotonic
2022-07-26T03:01:40.832425image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
16567
54.3%
-24659
38.6%
0853
 
7.1%
-93
 
< 0.1%
-81
 
< 0.1%
ValueCountFrequency (%)
-93
 
< 0.1%
-81
 
< 0.1%
-24659
38.6%
0853
 
7.1%
16567
54.3%
ValueCountFrequency (%)
16567
54.3%
0853
 
7.1%
-24659
38.6%
-81
 
< 0.1%
-93
 
< 0.1%

HELPCFL
Real number (ℝ)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8497889597
Minimum-9
Maximum5
Zeros6119
Zeros (%)50.6%
Negative5532
Negative (%)45.8%
Memory size94.5 KiB
2022-07-26T03:01:40.861702image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median0
Q30
95-th percentile0
Maximum5
Range14
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.193647555
Coefficient of variation (CV)-1.404639988
Kurtosis3.969036467
Mean-0.8497889597
Median Absolute Deviation (MAD)0
Skewness0.2449651757
Sum-10268
Variance1.424794485
MonotonicityNot monotonic
2022-07-26T03:01:40.889490image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
06119
50.6%
-25516
45.7%
2236
 
2.0%
1136
 
1.1%
560
 
0.5%
-916
 
0.1%
ValueCountFrequency (%)
-916
 
0.1%
-25516
45.7%
06119
50.6%
1136
 
1.1%
2236
 
2.0%
ValueCountFrequency (%)
560
 
0.5%
2236
 
2.0%
1136
 
1.1%
06119
50.6%
-25516
45.7%

HELPCFLY
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.818174294
Minimum-9
Maximum6
Zeros0
Zeros (%)0.0%
Negative11658
Negative (%)96.5%
Memory size94.5 KiB
2022-07-26T03:01:40.920167image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum6
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.09669595
Coefficient of variation (CV)-0.6031852685
Kurtosis27.94347429
Mean-1.818174294
Median Absolute Deviation (MAD)0
Skewness4.308498532
Sum-21969
Variance1.202742007
MonotonicityNot monotonic
2022-07-26T03:01:40.949087image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
-211635
96.3%
4165
 
1.4%
3102
 
0.8%
251
 
0.4%
641
 
0.3%
134
 
0.3%
532
 
0.3%
-923
 
0.2%
ValueCountFrequency (%)
-923
 
0.2%
-211635
96.3%
134
 
0.3%
251
 
0.4%
3102
 
0.8%
ValueCountFrequency (%)
641
 
0.3%
532
 
0.3%
4165
1.4%
3102
0.8%
251
 
0.4%

SLDDRS
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3627410411
Minimum0
Maximum1
Zeros7700
Zeros (%)63.7%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:40.980954image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4808108888
Coefficient of variation (CV)1.325493491
Kurtosis-1.674187814
Mean0.3627410411
Median Absolute Deviation (MAD)0
Skewness0.5710423169
Sum4383
Variance0.2311791108
MonotonicityNot monotonic
2022-07-26T03:01:41.011020image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
07700
63.7%
14383
36.3%
ValueCountFrequency (%)
07700
63.7%
14383
36.3%
ValueCountFrequency (%)
14383
36.3%
07700
63.7%

DOOR1SUM
Real number (ℝ)

ZEROS

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4879582885
Minimum-9
Maximum10
Zeros7700
Zeros (%)63.7%
Negative1
Negative (%)< 0.1%
Memory size94.5 KiB
2022-07-26T03:01:41.042344image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum10
Range19
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8015771333
Coefficient of variation (CV)1.642716503
Kurtosis13.43947024
Mean0.4879582885
Median Absolute Deviation (MAD)0
Skewness2.380747351
Sum5896
Variance0.6425259006
MonotonicityNot monotonic
2022-07-26T03:01:41.073748image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
07700
63.7%
13337
27.6%
2749
 
6.2%
3190
 
1.6%
463
 
0.5%
527
 
0.2%
68
 
0.1%
75
 
< 0.1%
103
 
< 0.1%
-91
 
< 0.1%
ValueCountFrequency (%)
-91
 
< 0.1%
07700
63.7%
13337
27.6%
2749
 
6.2%
3190
 
1.6%
ValueCountFrequency (%)
103
 
< 0.1%
75
 
< 0.1%
68
 
0.1%
527
0.2%
463
0.5%

WINDOWS
Real number (ℝ≥0)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.31606389
Minimum0
Maximum60
Zeros69
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:41.189074image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20
Q130
median41
Q342
95-th percentile50
Maximum60
Range60
Interquartile range (IQR)12

Descriptive statistics

Standard deviation11.19310995
Coefficient of variation (CV)0.308213742
Kurtosis0.2545035688
Mean36.31606389
Median Absolute Deviation (MAD)9
Skewness-0.3994180077
Sum438807
Variance125.2857103
MonotonicityNot monotonic
2022-07-26T03:01:41.217550image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
414049
33.5%
303059
25.3%
201452
 
12.0%
421309
 
10.8%
501259
 
10.4%
60504
 
4.2%
10382
 
3.2%
069
 
0.6%
ValueCountFrequency (%)
069
 
0.6%
10382
 
3.2%
201452
 
12.0%
303059
25.3%
414049
33.5%
ValueCountFrequency (%)
60504
 
4.2%
501259
 
10.4%
421309
 
10.8%
414049
33.5%
303059
25.3%

TYPEGLASS
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.572126128
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative69
Negative (%)0.6%
Memory size94.5 KiB
2022-07-26T03:01:41.247197image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum3
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5853627661
Coefficient of variation (CV)0.3723382977
Kurtosis5.985126219
Mean1.572126128
Median Absolute Deviation (MAD)0
Skewness-1.258572197
Sum18996
Variance0.3426495679
MonotonicityNot monotonic
2022-07-26T03:01:41.277387image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
26766
56.0%
15071
42.0%
3177
 
1.5%
-269
 
0.6%
ValueCountFrequency (%)
-269
 
0.6%
15071
42.0%
26766
56.0%
3177
 
1.5%
ValueCountFrequency (%)
3177
 
1.5%
26766
56.0%
15071
42.0%
-269
 
0.6%

NEWGLASS
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.518000497
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative69
Negative (%)0.6%
Memory size94.5 KiB
2022-07-26T03:01:41.306528image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile1
Q12
median3
Q33
95-th percentile3
Maximum3
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8098893642
Coefficient of variation (CV)0.3216398747
Kurtosis4.448966292
Mean2.518000497
Median Absolute Deviation (MAD)0
Skewness-1.850603173
Sum30425
Variance0.6559207823
MonotonicityNot monotonic
2022-07-26T03:01:41.335966image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
38299
68.7%
21951
 
16.1%
11764
 
14.6%
-269
 
0.6%
ValueCountFrequency (%)
-269
 
0.6%
11764
 
14.6%
21951
 
16.1%
38299
68.7%
ValueCountFrequency (%)
38299
68.7%
21951
 
16.1%
11764
 
14.6%
-269
 
0.6%

HELPWIN
Real number (ℝ)

ZEROS

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.339071423
Minimum-9
Maximum5
Zeros3264
Zeros (%)27.0%
Negative8434
Negative (%)69.8%
Memory size94.5 KiB
2022-07-26T03:01:41.365177image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q30
95-th percentile0
Maximum5
Range14
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.315293523
Coefficient of variation (CV)-0.9822429938
Kurtosis8.447152004
Mean-1.339071423
Median Absolute Deviation (MAD)0
Skewness0.4318206741
Sum-16180
Variance1.729997052
MonotonicityNot monotonic
2022-07-26T03:01:41.394665image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-28368
69.3%
03264
 
27.0%
3255
 
2.1%
-964
 
0.5%
544
 
0.4%
241
 
0.3%
133
 
0.3%
412
 
0.1%
-82
 
< 0.1%
ValueCountFrequency (%)
-964
 
0.5%
-82
 
< 0.1%
-28368
69.3%
03264
 
27.0%
133
 
0.3%
ValueCountFrequency (%)
544
 
0.4%
412
 
0.1%
3255
2.1%
241
 
0.3%
133
 
0.3%

HELPWINY
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.844078457
Minimum-9
Maximum6
Zeros0
Zeros (%)0.0%
Negative11694
Negative (%)96.8%
Memory size94.5 KiB
2022-07-26T03:01:41.426700image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum6
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.167067408
Coefficient of variation (CV)-0.6328729687
Kurtosis29.48070444
Mean-1.844078457
Median Absolute Deviation (MAD)0
Skewness3.511887298
Sum-22282
Variance1.362046335
MonotonicityNot monotonic
2022-07-26T03:01:41.455899image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-211640
96.3%
4116
 
1.0%
686
 
0.7%
257
 
0.5%
353
 
0.4%
-952
 
0.4%
139
 
0.3%
538
 
0.3%
-82
 
< 0.1%
ValueCountFrequency (%)
-952
 
0.4%
-82
 
< 0.1%
-211640
96.3%
139
 
0.3%
257
 
0.5%
ValueCountFrequency (%)
686
0.7%
538
 
0.3%
4116
1.0%
353
0.4%
257
0.5%

ADQINSUL
Real number (ℝ≥0)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.855168418
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:41.487507image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7562871572
Coefficient of variation (CV)0.407664959
Kurtosis-0.7536520374
Mean1.855168418
Median Absolute Deviation (MAD)1
Skewness0.3833713687
Sum22416
Variance0.5719702642
MonotonicityNot monotonic
2022-07-26T03:01:41.515092image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
25276
43.7%
14338
35.9%
32350
19.4%
4119
 
1.0%
ValueCountFrequency (%)
14338
35.9%
25276
43.7%
32350
19.4%
4119
 
1.0%
ValueCountFrequency (%)
4119
 
1.0%
32350
19.4%
25276
43.7%
14338
35.9%

INSTLINS
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2246958537
Minimum0
Maximum1
Zeros9368
Zeros (%)77.5%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:41.545535image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4173991445
Coefficient of variation (CV)1.857618366
Kurtosis-0.2593339754
Mean0.2246958537
Median Absolute Deviation (MAD)0
Skewness1.319359306
Sum2715
Variance0.1742220458
MonotonicityNot monotonic
2022-07-26T03:01:41.573917image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
09368
77.5%
12715
 
22.5%
ValueCountFrequency (%)
09368
77.5%
12715
 
22.5%
ValueCountFrequency (%)
12715
 
22.5%
09368
77.5%

AGEINS
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9855168418
Minimum-2
Maximum42
Zeros0
Zeros (%)0.0%
Negative9368
Negative (%)77.5%
Memory size94.5 KiB
2022-07-26T03:01:41.603673image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile41
Maximum42
Range44
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.502473848
Coefficient of variation (CV)9.642122229
Kurtosis13.53898018
Mean0.9855168418
Median Absolute Deviation (MAD)0
Skewness3.868087967
Sum11908
Variance90.29700922
MonotonicityNot monotonic
2022-07-26T03:01:41.631816image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-29368
77.5%
3601
 
5.0%
1597
 
4.9%
2540
 
4.5%
41402
 
3.3%
5364
 
3.0%
42211
 
1.7%
ValueCountFrequency (%)
-29368
77.5%
1597
 
4.9%
2540
 
4.5%
3601
 
5.0%
5364
 
3.0%
ValueCountFrequency (%)
42211
 
1.7%
41402
3.3%
5364
3.0%
3601
5.0%
2540
4.5%

HELPINS
Real number (ℝ)

ZEROS

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.780104279
Minimum-9
Maximum5
Zeros935
Zeros (%)7.7%
Negative10969
Negative (%)90.8%
Memory size94.5 KiB
2022-07-26T03:01:41.660853image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile0
Maximum5
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8659889456
Coefficient of variation (CV)-0.4864821437
Kurtosis27.05732106
Mean-1.780104279
Median Absolute Deviation (MAD)0
Skewness2.936225078
Sum-21509
Variance0.7499368539
MonotonicityNot monotonic
2022-07-26T03:01:41.688689image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
-210950
90.6%
0935
 
7.7%
392
 
0.8%
541
 
0.3%
232
 
0.3%
-919
 
0.2%
113
 
0.1%
41
 
< 0.1%
ValueCountFrequency (%)
-919
 
0.2%
-210950
90.6%
0935
 
7.7%
113
 
0.1%
232
 
0.3%
ValueCountFrequency (%)
541
0.3%
41
 
< 0.1%
392
0.8%
232
 
0.3%
113
 
0.1%

HELPINSY
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.922287511
Minimum-9
Maximum5
Zeros0
Zeros (%)0.0%
Negative11905
Negative (%)98.5%
Memory size94.5 KiB
2022-07-26T03:01:41.719010image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum5
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6599441152
Coefficient of variation (CV)-0.3433118674
Kurtosis73.88421116
Mean-1.922287511
Median Absolute Deviation (MAD)0
Skewness8.377871609
Sum-23227
Variance0.4355262352
MonotonicityNot monotonic
2022-07-26T03:01:41.747047image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-211904
98.5%
473
 
0.6%
337
 
0.3%
524
 
0.2%
223
 
0.2%
121
 
0.2%
-91
 
< 0.1%
ValueCountFrequency (%)
-91
 
< 0.1%
-211904
98.5%
121
 
0.2%
223
 
0.2%
337
 
0.3%
ValueCountFrequency (%)
524
 
0.2%
473
0.6%
337
0.3%
223
 
0.2%
121
 
0.2%

DRAFTY
Real number (ℝ≥0)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.30770504
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:41.777646image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9032832322
Coefficient of variation (CV)0.2730845772
Kurtosis0.6936657217
Mean3.30770504
Median Absolute Deviation (MAD)0
Skewness-1.247219209
Sum39967
Variance0.8159205976
MonotonicityNot monotonic
2022-07-26T03:01:41.805746image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
46465
53.5%
33766
31.2%
2957
 
7.9%
1895
 
7.4%
ValueCountFrequency (%)
1895
 
7.4%
2957
 
7.9%
33766
31.2%
46465
53.5%
ValueCountFrequency (%)
46465
53.5%
33766
31.2%
2957
 
7.9%
1895
 
7.4%

INSTLWS
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3592650832
Minimum0
Maximum1
Zeros7742
Zeros (%)64.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:41.836689image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4798048935
Coefficient of variation (CV)1.335517744
Kurtosis-1.656020805
Mean0.3592650832
Median Absolute Deviation (MAD)0
Skewness0.5867310538
Sum4341
Variance0.2302127358
MonotonicityNot monotonic
2022-07-26T03:01:41.866940image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
07742
64.1%
14341
35.9%
ValueCountFrequency (%)
07742
64.1%
14341
35.9%
ValueCountFrequency (%)
14341
35.9%
07742
64.1%

AGEWS
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.681039477
Minimum-2
Maximum42
Zeros0
Zeros (%)0.0%
Negative7742
Negative (%)64.1%
Memory size94.5 KiB
2022-07-26T03:01:41.898408image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q31
95-th percentile3
Maximum42
Range44
Interquartile range (IQR)3

Descriptive statistics

Standard deviation7.804783391
Coefficient of variation (CV)11.46010423
Kurtosis21.74554177
Mean0.681039477
Median Absolute Deviation (MAD)0
Skewness4.730469157
Sum8229
Variance60.91464378
MonotonicityNot monotonic
2022-07-26T03:01:41.926851image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-27742
64.1%
12060
 
17.0%
21023
 
8.5%
3741
 
6.1%
41297
 
2.5%
42111
 
0.9%
5109
 
0.9%
ValueCountFrequency (%)
-27742
64.1%
12060
 
17.0%
21023
 
8.5%
3741
 
6.1%
5109
 
0.9%
ValueCountFrequency (%)
42111
 
0.9%
41297
 
2.5%
5109
 
0.9%
3741
6.1%
21023
8.5%

HELPWS
Real number (ℝ)

ZEROS

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.492510138
Minimum-9
Maximum5
Zeros2905
Zeros (%)24.0%
Negative9060
Negative (%)75.0%
Memory size94.5 KiB
2022-07-26T03:01:41.956113image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q30
95-th percentile0
Maximum5
Range14
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.118610242
Coefficient of variation (CV)-0.7494825082
Kurtosis12.77149308
Mean-1.492510138
Median Absolute Deviation (MAD)0
Skewness0.4157643623
Sum-18034
Variance1.251288873
MonotonicityNot monotonic
2022-07-26T03:01:41.983558image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
-29009
74.6%
02905
 
24.0%
557
 
0.5%
-951
 
0.4%
339
 
0.3%
213
 
0.1%
17
 
0.1%
42
 
< 0.1%
ValueCountFrequency (%)
-951
 
0.4%
-29009
74.6%
02905
 
24.0%
17
 
0.1%
213
 
0.1%
ValueCountFrequency (%)
557
0.5%
42
 
< 0.1%
339
0.3%
213
 
0.1%
17
 
0.1%

HELPWSY
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.946205413
Minimum-2
Maximum6
Zeros0
Zeros (%)0.0%
Negative11965
Negative (%)99.0%
Memory size94.5 KiB
2022-07-26T03:01:42.014670image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum6
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5528689615
Coefficient of variation (CV)-0.2840753386
Kurtosis111.5401385
Mean-1.946205413
Median Absolute Deviation (MAD)0
Skewness10.51526092
Sum-23516
Variance0.3056640886
MonotonicityNot monotonic
2022-07-26T03:01:42.045588image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-211965
99.0%
457
 
0.5%
322
 
0.2%
215
 
0.1%
514
 
0.1%
18
 
0.1%
62
 
< 0.1%
ValueCountFrequency (%)
-211965
99.0%
18
 
0.1%
215
 
0.1%
322
 
0.2%
457
 
0.5%
ValueCountFrequency (%)
62
 
< 0.1%
514
 
0.1%
457
0.5%
322
 
0.2%
215
 
0.1%

AUDIT
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04874617231
Minimum0
Maximum1
Zeros11494
Zeros (%)95.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:42.078487image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2153458171
Coefficient of variation (CV)4.417696957
Kurtosis15.57261516
Mean0.04874617231
Median Absolute Deviation (MAD)0
Skewness4.191662866
Sum589
Variance0.04637382093
MonotonicityNot monotonic
2022-07-26T03:01:42.190655image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
011494
95.1%
1589
 
4.9%
ValueCountFrequency (%)
011494
95.1%
1589
 
4.9%
ValueCountFrequency (%)
1589
 
4.9%
011494
95.1%

AGEAUD
Real number (ℝ)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.427046263
Minimum-2
Maximum42
Zeros0
Zeros (%)0.0%
Negative11494
Negative (%)95.1%
Memory size94.5 KiB
2022-07-26T03:01:42.221034image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum42
Range44
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.273628449
Coefficient of variation (CV)-2.994737143
Kurtosis92.5246804
Mean-1.427046263
Median Absolute Deviation (MAD)0
Skewness9.566560055
Sum-17243
Variance18.26390012
MonotonicityNot monotonic
2022-07-26T03:01:42.249292image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-211494
95.1%
1214
 
1.8%
3117
 
1.0%
296
 
0.8%
4177
 
0.6%
547
 
0.4%
4238
 
0.3%
ValueCountFrequency (%)
-211494
95.1%
1214
 
1.8%
296
 
0.8%
3117
 
1.0%
547
 
0.4%
ValueCountFrequency (%)
4238
 
0.3%
4177
0.6%
547
0.4%
3117
1.0%
296
0.8%

HELPAUD
Real number (ℝ)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.927253166
Minimum-9
Maximum5
Zeros182
Zeros (%)1.5%
Negative11785
Negative (%)97.5%
Memory size94.5 KiB
2022-07-26T03:01:42.277972image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum5
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6077804546
Coefficient of variation (CV)-0.3153609839
Kurtosis85.02966117
Mean-1.927253166
Median Absolute Deviation (MAD)0
Skewness5.887790333
Sum-23287
Variance0.369397081
MonotonicityNot monotonic
2022-07-26T03:01:42.305443image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-211774
97.4%
0182
 
1.5%
272
 
0.6%
542
 
0.3%
-911
 
0.1%
32
 
< 0.1%
ValueCountFrequency (%)
-911
 
0.1%
-211774
97.4%
0182
 
1.5%
272
 
0.6%
32
 
< 0.1%
ValueCountFrequency (%)
542
 
0.3%
32
 
< 0.1%
272
 
0.6%
0182
 
1.5%
-211774
97.4%

HELPAUDY
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.94959861
Minimum-9
Maximum6
Zeros0
Zeros (%)0.0%
Negative11969
Negative (%)99.1%
Memory size94.5 KiB
2022-07-26T03:01:42.335976image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum6
Range15
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.548757121
Coefficient of variation (CV)-0.2814718467
Kurtosis116.508776
Mean-1.94959861
Median Absolute Deviation (MAD)0
Skewness10.02262776
Sum-23557
Variance0.3011343779
MonotonicityNot monotonic
2022-07-26T03:01:42.364803image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
-211967
99.0%
437
 
0.3%
330
 
0.2%
523
 
0.2%
213
 
0.1%
110
 
0.1%
-92
 
< 0.1%
61
 
< 0.1%
ValueCountFrequency (%)
-92
 
< 0.1%
-211967
99.0%
110
 
0.1%
213
 
0.1%
330
 
0.2%
ValueCountFrequency (%)
61
 
< 0.1%
523
0.2%
437
0.3%
330
0.2%
213
 
0.1%

USEEL
Real number (ℝ≥0)

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:42.396295image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum12083
Variance0
MonotonicityIncreasing
2022-07-26T03:01:42.423423image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
112083
100.0%
ValueCountFrequency (%)
112083
100.0%
ValueCountFrequency (%)
112083
100.0%

USENG
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6202102127
Minimum0
Maximum1
Zeros4589
Zeros (%)38.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:42.452151image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4853545103
Coefficient of variation (CV)0.7825645247
Kurtosis-1.75483748
Mean0.6202102127
Median Absolute Deviation (MAD)0
Skewness-0.4954321464
Sum7494
Variance0.2355690007
MonotonicityNot monotonic
2022-07-26T03:01:42.481837image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
17494
62.0%
04589
38.0%
ValueCountFrequency (%)
04589
38.0%
17494
62.0%
ValueCountFrequency (%)
17494
62.0%
04589
38.0%

USELP
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4320946785
Minimum0
Maximum1
Zeros6862
Zeros (%)56.8%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:42.511966image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4953879062
Coefficient of variation (CV)1.146479998
Kurtosis-1.925135516
Mean0.4320946785
Median Absolute Deviation (MAD)0
Skewness0.2741954834
Sum5221
Variance0.2454091776
MonotonicityNot monotonic
2022-07-26T03:01:42.541656image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
06862
56.8%
15221
43.2%
ValueCountFrequency (%)
06862
56.8%
15221
43.2%
ValueCountFrequency (%)
15221
43.2%
06862
56.8%

USEFO
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07481585699
Minimum0
Maximum1
Zeros11179
Zeros (%)92.5%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:42.571686image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2631048718
Coefficient of variation (CV)3.516699299
Kurtosis8.451009537
Mean0.07481585699
Median Absolute Deviation (MAD)0
Skewness3.232585767
Sum904
Variance0.06922417359
MonotonicityNot monotonic
2022-07-26T03:01:42.600451image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
011179
92.5%
1904
 
7.5%
ValueCountFrequency (%)
011179
92.5%
1904
 
7.5%
ValueCountFrequency (%)
1904
 
7.5%
011179
92.5%

USEKERO
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01373831002
Minimum0
Maximum1
Zeros11917
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:42.629698image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1164074324
Coefficient of variation (CV)8.473198832
Kurtosis67.83164862
Mean0.01373831002
Median Absolute Deviation (MAD)0
Skewness8.355861478
Sum166
Variance0.01355069033
MonotonicityNot monotonic
2022-07-26T03:01:42.659135image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
011917
98.6%
1166
 
1.4%
ValueCountFrequency (%)
011917
98.6%
1166
 
1.4%
ValueCountFrequency (%)
1166
 
1.4%
011917
98.6%

USEWOOD
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.118679136
Minimum0
Maximum1
Zeros10649
Zeros (%)88.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:42.688874image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3234239566
Coefficient of variation (CV)2.725196421
Kurtosis3.562712044
Mean0.118679136
Median Absolute Deviation (MAD)0
Skewness2.358415223
Sum1434
Variance0.1046030557
MonotonicityNot monotonic
2022-07-26T03:01:42.717976image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
010649
88.1%
11434
 
11.9%
ValueCountFrequency (%)
010649
88.1%
11434
 
11.9%
ValueCountFrequency (%)
11434
 
11.9%
010649
88.1%

USESOLAR
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01216585285
Minimum0
Maximum1
Zeros11936
Zeros (%)98.8%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:42.747274image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1096304682
Coefficient of variation (CV)9.011326175
Kurtosis77.24205053
Mean0.01216585285
Median Absolute Deviation (MAD)0
Skewness8.901082255
Sum147
Variance0.01201883957
MonotonicityNot monotonic
2022-07-26T03:01:42.776587image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
011936
98.8%
1147
 
1.2%
ValueCountFrequency (%)
011936
98.8%
1147
 
1.2%
ValueCountFrequency (%)
1147
 
1.2%
011936
98.8%

USEOTH
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2045021932
Minimum0
Maximum1
Zeros9612
Zeros (%)79.5%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:42.806250image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4033540763
Coefficient of variation (CV)1.972370419
Kurtosis0.1475551745
Mean0.2045021932
Median Absolute Deviation (MAD)0
Skewness1.46544559
Sum2471
Variance0.1626945109
MonotonicityNot monotonic
2022-07-26T03:01:42.835081image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
09612
79.5%
12471
 
20.5%
ValueCountFrequency (%)
09612
79.5%
12471
 
20.5%
ValueCountFrequency (%)
12471
 
20.5%
09612
79.5%

ELWARM
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5093106017
Minimum0
Maximum1
Zeros5929
Zeros (%)49.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:42.864258image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4999339931
Coefficient of variation (CV)0.9815896065
Kurtosis-1.998943074
Mean0.5093106017
Median Absolute Deviation (MAD)0
Skewness-0.03725349011
Sum6154
Variance0.2499339975
MonotonicityNot monotonic
2022-07-26T03:01:42.893488image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
16154
50.9%
05929
49.1%
ValueCountFrequency (%)
05929
49.1%
16154
50.9%
ValueCountFrequency (%)
16154
50.9%
05929
49.1%

ELECAUX
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2353720103
Minimum0
Maximum1
Zeros9239
Zeros (%)76.5%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:42.923117image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.424248657
Coefficient of variation (CV)1.802460099
Kurtosis-0.4432678282
Mean0.2353720103
Median Absolute Deviation (MAD)0
Skewness1.247720149
Sum2844
Variance0.1799869229
MonotonicityNot monotonic
2022-07-26T03:01:42.951500image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
09239
76.5%
12844
 
23.5%
ValueCountFrequency (%)
09239
76.5%
12844
 
23.5%
ValueCountFrequency (%)
12844
 
23.5%
09239
76.5%

ELCOOL
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8226433833
Minimum0
Maximum1
Zeros2143
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:42.980234image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3819860248
Coefficient of variation (CV)0.4643397523
Kurtosis0.8548012082
Mean0.8226433833
Median Absolute Deviation (MAD)0
Skewness-1.689573836
Sum9940
Variance0.1459133232
MonotonicityNot monotonic
2022-07-26T03:01:43.009148image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
19940
82.3%
02143
 
17.7%
ValueCountFrequency (%)
02143
 
17.7%
19940
82.3%
ValueCountFrequency (%)
19940
82.3%
02143
 
17.7%

ELWATER
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3983282297
Minimum0
Maximum1
Zeros7270
Zeros (%)60.2%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:43.038345image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4895739857
Coefficient of variation (CV)1.229071778
Kurtosis-1.827731532
Mean0.3983282297
Median Absolute Deviation (MAD)0
Skewness0.4154166884
Sum4813
Variance0.2396826875
MonotonicityNot monotonic
2022-07-26T03:01:43.068029image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
07270
60.2%
14813
39.8%
ValueCountFrequency (%)
07270
60.2%
14813
39.8%
ValueCountFrequency (%)
14813
39.8%
07270
60.2%

ELFOOD
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6369279153
Minimum0
Maximum1
Zeros4387
Zeros (%)36.3%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:43.098132image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4809052777
Coefficient of variation (CV)0.7550387826
Kurtosis-1.675886511
Mean0.6369279153
Median Absolute Deviation (MAD)0
Skewness-0.5695532568
Sum7696
Variance0.2312698861
MonotonicityNot monotonic
2022-07-26T03:01:43.210636image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
17696
63.7%
04387
36.3%
ValueCountFrequency (%)
04387
36.3%
17696
63.7%
ValueCountFrequency (%)
17696
63.7%
04387
36.3%

ELOTHER
Real number (ℝ≥0)

SKEWED

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9999172391
Minimum0
Maximum1
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:43.241056image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.009097302004
Coefficient of variation (CV)0.009098054967
Kurtosis12083
Mean0.9999172391
Median Absolute Deviation (MAD)0
Skewness-109.9227001
Sum12082
Variance8.276090375 × 10-5
MonotonicityNot monotonic
2022-07-26T03:01:43.270171image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
112082
> 99.9%
01
 
< 0.1%
ValueCountFrequency (%)
01
 
< 0.1%
112082
> 99.9%
ValueCountFrequency (%)
112082
> 99.9%
01
 
< 0.1%

UGWARM
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.503848382
Minimum0
Maximum1
Zeros5995
Zeros (%)49.6%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:43.299702image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5000058806
Coefficient of variation (CV)0.9923736951
Kurtosis-2.000094053
Mean0.503848382
Median Absolute Deviation (MAD)0
Skewness-0.01539589541
Sum6088
Variance0.2500058807
MonotonicityNot monotonic
2022-07-26T03:01:43.328812image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
16088
50.4%
05995
49.6%
ValueCountFrequency (%)
05995
49.6%
16088
50.4%
ValueCountFrequency (%)
16088
50.4%
05995
49.6%

UGASAUX
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06711909294
Minimum0
Maximum1
Zeros11272
Zeros (%)93.3%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:43.358398image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2502384917
Coefficient of variation (CV)3.728275827
Kurtosis9.975462387
Mean0.06711909294
Median Absolute Deviation (MAD)0
Skewness3.460319531
Sum811
Variance0.06261930273
MonotonicityNot monotonic
2022-07-26T03:01:43.387143image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
011272
93.3%
1811
 
6.7%
ValueCountFrequency (%)
011272
93.3%
1811
 
6.7%
ValueCountFrequency (%)
1811
 
6.7%
011272
93.3%

UGWATER
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5286766531
Minimum0
Maximum1
Zeros5695
Zeros (%)47.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:43.416321image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4991976296
Coefficient of variation (CV)0.9442399748
Kurtosis-1.987124631
Mean0.5286766531
Median Absolute Deviation (MAD)0
Skewness-0.1149100029
Sum6388
Variance0.2491982734
MonotonicityNot monotonic
2022-07-26T03:01:43.445461image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
16388
52.9%
05695
47.1%
ValueCountFrequency (%)
05695
47.1%
16388
52.9%
ValueCountFrequency (%)
16388
52.9%
05695
47.1%

UGCOOK
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3477613176
Minimum0
Maximum1
Zeros7881
Zeros (%)65.2%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:43.475126image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4762794949
Coefficient of variation (CV)1.369558576
Kurtosis-1.591445419
Mean0.3477613176
Median Absolute Deviation (MAD)0
Skewness0.639388792
Sum4202
Variance0.2268421572
MonotonicityNot monotonic
2022-07-26T03:01:43.505159image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
07881
65.2%
14202
34.8%
ValueCountFrequency (%)
07881
65.2%
14202
34.8%
ValueCountFrequency (%)
14202
34.8%
07881
65.2%

UGOTH
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1938260366
Minimum0
Maximum1
Zeros9741
Zeros (%)80.6%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:43.535544image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3953105579
Coefficient of variation (CV)2.039512157
Kurtosis0.4003548196
Mean0.1938260366
Median Absolute Deviation (MAD)0
Skewness1.549286474
Sum2342
Variance0.1562704372
MonotonicityNot monotonic
2022-07-26T03:01:43.564299image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
09741
80.6%
12342
 
19.4%
ValueCountFrequency (%)
09741
80.6%
12342
 
19.4%
ValueCountFrequency (%)
12342
 
19.4%
09741
80.6%

LPWARM
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05900852437
Minimum0
Maximum1
Zeros11370
Zeros (%)94.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:43.593481image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2356504068
Coefficient of variation (CV)3.993497708
Kurtosis12.01488071
Mean0.05900852437
Median Absolute Deviation (MAD)0
Skewness3.743379758
Sum713
Variance0.05553111423
MonotonicityNot monotonic
2022-07-26T03:01:43.622378image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
011370
94.1%
1713
 
5.9%
ValueCountFrequency (%)
011370
94.1%
1713
 
5.9%
ValueCountFrequency (%)
1713
 
5.9%
011370
94.1%

LPGAUX
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02234544401
Minimum0
Maximum1
Zeros11813
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:43.651626image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1478104641
Coefficient of variation (CV)6.614791992
Kurtosis39.79166862
Mean0.02234544401
Median Absolute Deviation (MAD)0
Skewness6.464138168
Sum270
Variance0.0218479333
MonotonicityNot monotonic
2022-07-26T03:01:43.680979image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
011813
97.8%
1270
 
2.2%
ValueCountFrequency (%)
011813
97.8%
1270
 
2.2%
ValueCountFrequency (%)
1270
 
2.2%
011813
97.8%

LPWATER
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03360092692
Minimum0
Maximum1
Zeros11677
Zeros (%)96.6%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:43.710645image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1802070816
Coefficient of variation (CV)5.363158047
Kurtosis24.80661337
Mean0.03360092692
Median Absolute Deviation (MAD)0
Skewness5.177113806
Sum406
Variance0.03247459226
MonotonicityNot monotonic
2022-07-26T03:01:43.739927image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
011677
96.6%
1406
 
3.4%
ValueCountFrequency (%)
011677
96.6%
1406
 
3.4%
ValueCountFrequency (%)
1406
 
3.4%
011677
96.6%

LPCOOK
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04121493007
Minimum0
Maximum1
Zeros11585
Zeros (%)95.9%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:43.769541image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1987951968
Coefficient of variation (CV)4.823378239
Kurtosis19.31452687
Mean0.04121493007
Median Absolute Deviation (MAD)0
Skewness4.616419599
Sum498
Variance0.03951953028
MonotonicityNot monotonic
2022-07-26T03:01:43.798760image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
011585
95.9%
1498
 
4.1%
ValueCountFrequency (%)
011585
95.9%
1498
 
4.1%
ValueCountFrequency (%)
1498
 
4.1%
011585
95.9%

LPOTHER
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3949350327
Minimum0
Maximum1
Zeros7311
Zeros (%)60.5%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:43.828334image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4888569637
Coefficient of variation (CV)1.237816155
Kurtosis-1.815477526
Mean0.3949350327
Median Absolute Deviation (MAD)0
Skewness0.4299104586
Sum4772
Variance0.2389811309
MonotonicityNot monotonic
2022-07-26T03:01:43.858045image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
07311
60.5%
14772
39.5%
ValueCountFrequency (%)
07311
60.5%
14772
39.5%
ValueCountFrequency (%)
14772
39.5%
07311
60.5%

FOWARM
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07109161632
Minimum0
Maximum1
Zeros11224
Zeros (%)92.9%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:43.888115image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2569884515
Coefficient of variation (CV)3.614891105
Kurtosis9.147169885
Mean0.07109161632
Median Absolute Deviation (MAD)0
Skewness3.338511024
Sum859
Variance0.06604306419
MonotonicityNot monotonic
2022-07-26T03:01:43.916906image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
011224
92.9%
1859
 
7.1%
ValueCountFrequency (%)
011224
92.9%
1859
 
7.1%
ValueCountFrequency (%)
1859
 
7.1%
011224
92.9%

FOILAUX
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.004386327899
Minimum0
Maximum1
Zeros12030
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:43.946062image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06608668157
Coefficient of variation (CV)15.06651648
Kurtosis223.0783344
Mean0.004386327899
Median Absolute Deviation (MAD)0
Skewness15.00138027
Sum53
Variance0.00436744948
MonotonicityNot monotonic
2022-07-26T03:01:43.975302image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
012030
99.6%
153
 
0.4%
ValueCountFrequency (%)
012030
99.6%
153
 
0.4%
ValueCountFrequency (%)
153
 
0.4%
012030
99.6%

FOWATER
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03840105934
Minimum0
Maximum1
Zeros11619
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:44.004854image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1921704303
Coefficient of variation (CV)5.004300237
Kurtosis21.09010556
Mean0.03840105934
Median Absolute Deviation (MAD)0
Skewness4.804853246
Sum464
Variance0.0369294743
MonotonicityNot monotonic
2022-07-26T03:01:44.034095image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
011619
96.2%
1464
 
3.8%
ValueCountFrequency (%)
011619
96.2%
1464
 
3.8%
ValueCountFrequency (%)
1464
 
3.8%
011619
96.2%

FOOTHER
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001737978979
Minimum0
Maximum1
Zeros12062
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:44.063971image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.04165455565
Coefficient of variation (CV)23.9672379
Kurtosis570.6192874
Mean0.001737978979
Median Absolute Deviation (MAD)0
Skewness23.92749125
Sum21
Variance0.001735102006
MonotonicityNot monotonic
2022-07-26T03:01:44.093253image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
012062
99.8%
121
 
0.2%
ValueCountFrequency (%)
012062
99.8%
121
 
0.2%
ValueCountFrequency (%)
121
 
0.2%
012062
99.8%

KRWARM
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01051063478
Minimum0
Maximum1
Zeros11956
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:44.122895image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1019854016
Coefficient of variation (CV)9.703067772
Kurtosis90.19016786
Mean0.01051063478
Median Absolute Deviation (MAD)0
Skewness9.600793689
Sum127
Variance0.01040102213
MonotonicityNot monotonic
2022-07-26T03:01:44.234270image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
011956
98.9%
1127
 
1.1%
ValueCountFrequency (%)
011956
98.9%
1127
 
1.1%
ValueCountFrequency (%)
1127
 
1.1%
011956
98.9%

KEROAUX
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.006289828685
Minimum0
Maximum1
Zeros12007
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:44.263667image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07906190018
Coefficient of variation (CV)12.56980184
Kurtosis154.0574105
Mean0.006289828685
Median Absolute Deviation (MAD)0
Skewness12.49127338
Sum76
Variance0.006250784061
MonotonicityNot monotonic
2022-07-26T03:01:44.292654image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
012007
99.4%
176
 
0.6%
ValueCountFrequency (%)
012007
99.4%
176
 
0.6%
ValueCountFrequency (%)
176
 
0.6%
012007
99.4%

KRWATER
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0002482827112
Minimum0
Maximum1
Zeros12080
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:44.322105image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01575568506
Coefficient of variation (CV)63.45864752
Kurtosis4024.332506
Mean0.0002482827112
Median Absolute Deviation (MAD)0
Skewness63.44813938
Sum3
Variance0.0002482416116
MonotonicityNot monotonic
2022-07-26T03:01:44.351205image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
012080
> 99.9%
13
 
< 0.1%
ValueCountFrequency (%)
012080
> 99.9%
13
 
< 0.1%
ValueCountFrequency (%)
13
 
< 0.1%
012080
> 99.9%

KROTHER
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.003144914342
Minimum0
Maximum1
Zeros12045
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:44.380746image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05599360084
Coefficient of variation (CV)17.80449155
Kurtosis313.1068856
Mean0.003144914342
Median Absolute Deviation (MAD)0
Skewness17.74979041
Sum38
Variance0.003135283335
MonotonicityNot monotonic
2022-07-26T03:01:44.409973image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
012045
99.7%
138
 
0.3%
ValueCountFrequency (%)
012045
99.7%
138
 
0.3%
ValueCountFrequency (%)
138
 
0.3%
012045
99.7%

WDWARM
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1045270214
Minimum0
Maximum1
Zeros10820
Zeros (%)89.5%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:44.439537image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3059556673
Coefficient of variation (CV)2.927048558
Kurtosis4.686067893
Mean0.1045270214
Median Absolute Deviation (MAD)0
Skewness2.585593215
Sum1263
Variance0.09360887038
MonotonicityNot monotonic
2022-07-26T03:01:44.468385image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
010820
89.5%
11263
 
10.5%
ValueCountFrequency (%)
010820
89.5%
11263
 
10.5%
ValueCountFrequency (%)
11263
 
10.5%
010820
89.5%

WOODAUX
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08110568567
Minimum0
Maximum1
Zeros11103
Zeros (%)91.9%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:44.497572image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.273008648
Coefficient of variation (CV)3.366085198
Kurtosis7.421423457
Mean0.08110568567
Median Absolute Deviation (MAD)0
Skewness3.06923363
Sum980
Variance0.0745337219
MonotonicityNot monotonic
2022-07-26T03:01:44.526318image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
011103
91.9%
1980
 
8.1%
ValueCountFrequency (%)
011103
91.9%
1980
 
8.1%
ValueCountFrequency (%)
1980
 
8.1%
011103
91.9%

WDWATER
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.000993130845
Minimum0
Maximum1
Zeros12071
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:44.555548image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03149962942
Coefficient of variation (CV)31.71750186
Kurtosis1002.332879
Mean0.000993130845
Median Absolute Deviation (MAD)0
Skewness31.68859371
Sum12
Variance0.0009922266537
MonotonicityNot monotonic
2022-07-26T03:01:44.584826image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
012071
99.9%
112
 
0.1%
ValueCountFrequency (%)
012071
99.9%
112
 
0.1%
ValueCountFrequency (%)
112
 
0.1%
012071
99.9%

WDOTHUSE
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01522800629
Minimum0
Maximum1
Zeros11899
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:44.614509image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1224636898
Coefficient of variation (CV)8.042004149
Kurtosis60.70955725
Mean0.01522800629
Median Absolute Deviation (MAD)0
Skewness7.918302124
Sum184
Variance0.01499735531
MonotonicityNot monotonic
2022-07-26T03:01:44.643809image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
011899
98.5%
1184
 
1.5%
ValueCountFrequency (%)
011899
98.5%
1184
 
1.5%
ValueCountFrequency (%)
1184
 
1.5%
011899
98.5%

SOLWARM
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.000331043615
Minimum0
Maximum1
Zeros12079
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:44.673477image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01819234498
Coefficient of variation (CV)54.95452609
Kurtosis3016.999131
Mean0.000331043615
Median Absolute Deviation (MAD)0
Skewness54.94087505
Sum4
Variance0.0003309614158
MonotonicityNot monotonic
2022-07-26T03:01:44.702775image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
012079
> 99.9%
14
 
< 0.1%
ValueCountFrequency (%)
012079
> 99.9%
14
 
< 0.1%
ValueCountFrequency (%)
14
 
< 0.1%
012079
> 99.9%

SOLARAUX
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0002482827112
Minimum0
Maximum1
Zeros12080
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:44.732451image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01575568506
Coefficient of variation (CV)63.45864752
Kurtosis4024.332506
Mean0.0002482827112
Median Absolute Deviation (MAD)0
Skewness63.44813938
Sum3
Variance0.0002482416116
MonotonicityNot monotonic
2022-07-26T03:01:44.761816image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
012080
> 99.9%
13
 
< 0.1%
ValueCountFrequency (%)
012080
> 99.9%
13
 
< 0.1%
ValueCountFrequency (%)
13
 
< 0.1%
012080
> 99.9%

SOLWATER
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001820739882
Minimum0
Maximum1
Zeros12061
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:44.791442image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0426330296
Coefficient of variation (CV)23.41522258
Kurtosis544.4548651
Mean0.001820739882
Median Absolute Deviation (MAD)0
Skewness23.37444643
Sum22
Variance0.001817575213
MonotonicityNot monotonic
2022-07-26T03:01:44.820744image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
012061
99.8%
122
 
0.2%
ValueCountFrequency (%)
012061
99.8%
122
 
0.2%
ValueCountFrequency (%)
122
 
0.2%
012061
99.8%

SOLOTHER
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01042787387
Minimum0
Maximum1
Zeros11957
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:44.850336image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1015873388
Coefficient of variation (CV)9.741903294
Kurtosis90.94548898
Mean0.01042787387
Median Absolute Deviation (MAD)0
Skewness9.640043337
Sum126
Variance0.01031998741
MonotonicityNot monotonic
2022-07-26T03:01:44.879574image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
011957
99.0%
1126
 
1.0%
ValueCountFrequency (%)
011957
99.0%
1126
 
1.0%
ValueCountFrequency (%)
1126
 
1.0%
011957
99.0%

OTHWARM
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008938177605
Minimum0
Maximum1
Zeros11975
Zeros (%)99.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:44.909120image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09412236592
Coefficient of variation (CV)10.53037544
Kurtosis106.9333893
Mean0.008938177605
Median Absolute Deviation (MAD)0
Skewness10.43626799
Sum108
Variance0.008859019766
MonotonicityNot monotonic
2022-07-26T03:01:44.938330image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
011975
99.1%
1108
 
0.9%
ValueCountFrequency (%)
011975
99.1%
1108
 
0.9%
ValueCountFrequency (%)
1108
 
0.9%
011975
99.1%

OTHERAUX
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005379458744
Minimum0
Maximum1
Zeros12018
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:44.967930image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07315027695
Coefficient of variation (CV)13.59807379
Kurtosis180.9730916
Mean0.005379458744
Median Absolute Deviation (MAD)0
Skewness13.52564736
Sum65
Variance0.005350963018
MonotonicityNot monotonic
2022-07-26T03:01:44.997108image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
012018
99.5%
165
 
0.5%
ValueCountFrequency (%)
012018
99.5%
165
 
0.5%
ValueCountFrequency (%)
165
 
0.5%
012018
99.5%

OTHWATER
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.000993130845
Minimum0
Maximum1
Zeros12071
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:45.026666image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03149962942
Coefficient of variation (CV)31.71750186
Kurtosis1002.332879
Mean0.000993130845
Median Absolute Deviation (MAD)0
Skewness31.68859371
Sum12
Variance0.0009922266537
MonotonicityNot monotonic
2022-07-26T03:01:45.055999image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
012071
99.9%
112
 
0.1%
ValueCountFrequency (%)
012071
99.9%
112
 
0.1%
ValueCountFrequency (%)
112
 
0.1%
012071
99.9%

OTHCOOK
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001572457171
Minimum0
Maximum1
Zeros12064
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:45.085730image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03962467027
Coefficient of variation (CV)25.19920478
Kurtosis631.2106074
Mean0.001572457171
Median Absolute Deviation (MAD)0
Skewness25.16160027
Sum19
Variance0.001570114494
MonotonicityNot monotonic
2022-07-26T03:01:45.115019image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
012064
99.8%
119
 
0.2%
ValueCountFrequency (%)
012064
99.8%
119
 
0.2%
ValueCountFrequency (%)
119
 
0.2%
012064
99.8%

ONSITE
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005876024166
Minimum0
Maximum1
Zeros12012
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:45.144591image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0764328463
Coefficient of variation (CV)13.00757862
Kurtosis165.2578824
Mean0.005876024166
Median Absolute Deviation (MAD)0
Skewness12.93176433
Sum71
Variance0.005841979994
MonotonicityNot monotonic
2022-07-26T03:01:45.173884image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
012012
99.4%
171
 
0.6%
ValueCountFrequency (%)
012012
99.4%
171
 
0.6%
ValueCountFrequency (%)
171
 
0.6%
012012
99.4%

ONSITEGRID
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.985930646
Minimum-2
Maximum1
Zeros43
Zeros (%)0.4%
Negative12012
Negative (%)99.4%
Memory size94.5 KiB
2022-07-26T03:01:45.286515image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1868035451
Coefficient of variation (CV)-0.09406347873
Kurtosis193.8443031
Mean-1.985930646
Median Absolute Deviation (MAD)0
Skewness13.74274991
Sum-23996
Variance0.03489556447
MonotonicityNot monotonic
2022-07-26T03:01:45.313826image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-212012
99.4%
043
 
0.4%
128
 
0.2%
ValueCountFrequency (%)
-212012
99.4%
043
 
0.4%
128
 
0.2%
ValueCountFrequency (%)
128
 
0.2%
043
 
0.4%
-212012
99.4%

PELHEAT
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4423570305
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative5929
Negative (%)49.1%
Memory size94.5 KiB
2022-07-26T03:01:45.343442image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median1
Q31
95-th percentile1
Maximum3
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.542012265
Coefficient of variation (CV)-3.485899757
Kurtosis-1.856454041
Mean-0.4423570305
Median Absolute Deviation (MAD)1
Skewness0.0289395343
Sum-5345
Variance2.377801827
MonotonicityNot monotonic
2022-07-26T03:01:45.373271image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-25929
49.1%
15868
48.6%
2213
 
1.8%
373
 
0.6%
ValueCountFrequency (%)
-25929
49.1%
15868
48.6%
2213
 
1.8%
373
 
0.6%
ValueCountFrequency (%)
373
 
0.6%
2213
 
1.8%
15868
48.6%
-25929
49.1%

PELHOTWA
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7813456923
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative7270
Negative (%)60.2%
Memory size94.5 KiB
2022-07-26T03:01:45.402016image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q31
95-th percentile1
Maximum3
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.508358748
Coefficient of variation (CV)-1.930462742
Kurtosis-1.654723822
Mean-0.7813456923
Median Absolute Deviation (MAD)0
Skewness0.4712626455
Sum-9441
Variance2.275146111
MonotonicityNot monotonic
2022-07-26T03:01:45.432346image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-27270
60.2%
14584
37.9%
2172
 
1.4%
357
 
0.5%
ValueCountFrequency (%)
-27270
60.2%
14584
37.9%
2172
 
1.4%
357
 
0.5%
ValueCountFrequency (%)
357
 
0.5%
2172
 
1.4%
14584
37.9%
-27270
60.2%

PELCOOK
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05205660846
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative4387
Negative (%)36.3%
Memory size94.5 KiB
2022-07-26T03:01:45.461466image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median1
Q31
95-th percentile1
Maximum3
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.487192367
Coefficient of variation (CV)-28.56875257
Kurtosis-1.573508069
Mean-0.05205660846
Median Absolute Deviation (MAD)0
Skewness-0.4806417001
Sum-629
Variance2.211741135
MonotonicityNot monotonic
2022-07-26T03:01:45.491764image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
17329
60.7%
-24387
36.3%
2285
 
2.4%
382
 
0.7%
ValueCountFrequency (%)
-24387
36.3%
17329
60.7%
2285
 
2.4%
382
 
0.7%
ValueCountFrequency (%)
382
 
0.7%
2285
 
2.4%
17329
60.7%
-24387
36.3%

PELAC
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1278655963
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative4647
Negative (%)38.5%
Memory size94.5 KiB
2022-07-26T03:01:45.520982image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median1
Q31
95-th percentile1
Maximum3
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.491837518
Coefficient of variation (CV)-11.66723154
Kurtosis-1.688016038
Mean-0.1278655963
Median Absolute Deviation (MAD)0
Skewness-0.4105169738
Sum-1545
Variance2.22557918
MonotonicityNot monotonic
2022-07-26T03:01:45.551339image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
17185
59.5%
-24647
38.5%
2189
 
1.6%
362
 
0.5%
ValueCountFrequency (%)
-24647
38.5%
17185
59.5%
2189
 
1.6%
362
 
0.5%
ValueCountFrequency (%)
362
 
0.5%
2189
 
1.6%
17185
59.5%
-24647
38.5%

PELLIGHT
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.065629397
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)< 0.1%
Memory size94.5 KiB
2022-07-26T03:01:45.580521image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum3
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2881187358
Coefficient of variation (CV)0.2703742377
Kurtosis24.095197
Mean1.065629397
Median Absolute Deviation (MAD)0
Skewness4.562171415
Sum12876
Variance0.08301240593
MonotonicityNot monotonic
2022-07-26T03:01:45.610461image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
111411
94.4%
2546
 
4.5%
3125
 
1.0%
-21
 
< 0.1%
ValueCountFrequency (%)
-21
 
< 0.1%
111411
94.4%
2546
 
4.5%
3125
 
1.0%
ValueCountFrequency (%)
3125
 
1.0%
2546
 
4.5%
111411
94.4%
-21
 
< 0.1%

OTHERWAYEL
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.951171067
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative11947
Negative (%)98.9%
Memory size94.5 KiB
2022-07-26T03:01:45.639065image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum3
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4668439763
Coefficient of variation (CV)-0.2392634784
Kurtosis95.31672663
Mean-1.951171067
Median Absolute Deviation (MAD)0
Skewness9.752667459
Sum-23576
Variance0.2179432982
MonotonicityNot monotonic
2022-07-26T03:01:45.669051image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-211947
98.9%
382
 
0.7%
136
 
0.3%
218
 
0.1%
ValueCountFrequency (%)
-211947
98.9%
136
 
0.3%
218
 
0.1%
382
 
0.7%
ValueCountFrequency (%)
382
 
0.7%
218
 
0.1%
136
 
0.3%
-211947
98.9%

PGASHEAT
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4383845072
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative5994
Negative (%)49.6%
Memory size94.5 KiB
2022-07-26T03:01:45.697918image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median1
Q31
95-th percentile1
Maximum3
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.567571906
Coefficient of variation (CV)-3.575792211
Kurtosis-1.827509606
Mean-0.4383845072
Median Absolute Deviation (MAD)2
Skewness0.0699396509
Sum-5297
Variance2.457281681
MonotonicityNot monotonic
2022-07-26T03:01:45.727910image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-25994
49.6%
15557
46.0%
2462
 
3.8%
370
 
0.6%
ValueCountFrequency (%)
-25994
49.6%
15557
46.0%
2462
 
3.8%
370
 
0.6%
ValueCountFrequency (%)
370
 
0.6%
2462
 
3.8%
15557
46.0%
-25994
49.6%

PGASHTWA
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3524786891
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative5695
Negative (%)47.1%
Memory size94.5 KiB
2022-07-26T03:01:45.756672image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median1
Q31
95-th percentile2
Maximum3
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.576441392
Coefficient of variation (CV)-4.472444549
Kurtosis-1.820183904
Mean-0.3524786891
Median Absolute Deviation (MAD)1
Skewness-0.01925999566
Sum-4259
Variance2.485167461
MonotonicityNot monotonic
2022-07-26T03:01:45.786277image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
15710
47.3%
-25695
47.1%
2613
 
5.1%
365
 
0.5%
ValueCountFrequency (%)
-25695
47.1%
15710
47.3%
2613
 
5.1%
365
 
0.5%
ValueCountFrequency (%)
365
 
0.5%
2613
 
5.1%
15710
47.3%
-25695
47.1%

PUGCOOK
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9196391625
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative7881
Negative (%)65.2%
Memory size94.5 KiB
2022-07-26T03:01:45.814593image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q31
95-th percentile1
Maximum3
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.49332149
Coefficient of variation (CV)-1.623812416
Kurtosis-1.351144529
Mean-0.9196391625
Median Absolute Deviation (MAD)0
Skewness0.7102851987
Sum-11112
Variance2.230009074
MonotonicityNot monotonic
2022-07-26T03:01:45.845347image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-27881
65.2%
13800
31.4%
2356
 
2.9%
346
 
0.4%
ValueCountFrequency (%)
-27881
65.2%
13800
31.4%
2356
 
2.9%
346
 
0.4%
ValueCountFrequency (%)
346
 
0.4%
2356
 
2.9%
13800
31.4%
-27881
65.2%

PUGOTH
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.525200695
Minimum-9
Maximum3
Zeros0
Zeros (%)0.0%
Negative10071
Negative (%)83.3%
Memory size94.5 KiB
2022-07-26T03:01:45.874562image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile1
Maximum3
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.227919579
Coefficient of variation (CV)-0.805087214
Kurtosis5.966116281
Mean-1.525200695
Median Absolute Deviation (MAD)0
Skewness0.542414451
Sum-18429
Variance1.507786491
MonotonicityNot monotonic
2022-07-26T03:01:45.904060image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-210021
82.9%
11974
 
16.3%
-950
 
0.4%
225
 
0.2%
313
 
0.1%
ValueCountFrequency (%)
-950
 
0.4%
-210021
82.9%
11974
 
16.3%
225
 
0.2%
313
 
0.1%
ValueCountFrequency (%)
313
 
0.1%
225
 
0.2%
11974
 
16.3%
-210021
82.9%
-950
 
0.4%

OTHERWAYNG
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.965074899
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative11989
Negative (%)99.2%
Memory size94.5 KiB
2022-07-26T03:01:45.932462image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum3
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4006349049
Coefficient of variation (CV)-0.2038776767
Kurtosis136.0209143
Mean-1.965074899
Median Absolute Deviation (MAD)0
Skewness11.65063543
Sum-23744
Variance0.160508327
MonotonicityNot monotonic
2022-07-26T03:01:45.962463image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-211989
99.2%
364
 
0.5%
118
 
0.1%
212
 
0.1%
ValueCountFrequency (%)
-211989
99.2%
118
 
0.1%
212
 
0.1%
364
 
0.5%
ValueCountFrequency (%)
364
 
0.5%
212
 
0.1%
118
 
0.1%
-211989
99.2%

FOPAY
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.758917487
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative11179
Negative (%)92.5%
Memory size94.5 KiB
2022-07-26T03:01:45.993853image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile1
Maximum3
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8575365101
Coefficient of variation (CV)-0.4875365196
Kurtosis9.964879597
Mean-1.758917487
Median Absolute Deviation (MAD)0
Skewness3.383932435
Sum-21253
Variance0.7353688661
MonotonicityNot monotonic
2022-07-26T03:01:46.023783image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-211179
92.5%
1725
 
6.0%
2157
 
1.3%
322
 
0.2%
ValueCountFrequency (%)
-211179
92.5%
1725
 
6.0%
2157
 
1.3%
322
 
0.2%
ValueCountFrequency (%)
322
 
0.2%
2157
 
1.3%
1725
 
6.0%
-211179
92.5%

OTHERWAYFO
Real number (ℝ)

SKEWED

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.991641149
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative12061
Negative (%)99.8%
Memory size94.5 KiB
2022-07-26T03:01:46.053405image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum3
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1976847776
Coefficient of variation (CV)-0.09925722702
Kurtosis579.4633407
Mean-1.991641149
Median Absolute Deviation (MAD)0
Skewness23.97226347
Sum-24065
Variance0.03907927131
MonotonicityNot monotonic
2022-07-26T03:01:46.083947image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-212061
99.8%
315
 
0.1%
25
 
< 0.1%
12
 
< 0.1%
ValueCountFrequency (%)
-212061
99.8%
12
 
< 0.1%
25
 
< 0.1%
315
 
0.1%
ValueCountFrequency (%)
315
 
0.1%
25
 
< 0.1%
12
 
< 0.1%
-212061
99.8%

LPGPAY
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.286352727
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative9236
Negative (%)76.4%
Memory size94.5 KiB
2022-07-26T03:01:46.112944image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile1
Maximum3
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.289793493
Coefficient of variation (CV)-1.002674823
Kurtosis-0.2717945609
Mean-1.286352727
Median Absolute Deviation (MAD)0
Skewness1.279038779
Sum-15543
Variance1.663567254
MonotonicityNot monotonic
2022-07-26T03:01:46.142114image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-29236
76.4%
12793
 
23.1%
328
 
0.2%
226
 
0.2%
ValueCountFrequency (%)
-29236
76.4%
12793
 
23.1%
226
 
0.2%
328
 
0.2%
ValueCountFrequency (%)
328
 
0.2%
226
 
0.2%
12793
 
23.1%
-29236
76.4%

OTHERWAYLPG
Real number (ℝ)

SKEWED

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.989572126
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative12056
Negative (%)99.8%
Memory size94.5 KiB
2022-07-26T03:01:46.170181image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum3
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2226025666
Coefficient of variation (CV)-0.1118846428
Kurtosis469.676954
Mean-1.989572126
Median Absolute Deviation (MAD)0
Skewness21.60842054
Sum-24040
Variance0.04955190266
MonotonicityNot monotonic
2022-07-26T03:01:46.200174image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-212056
99.8%
321
 
0.2%
23
 
< 0.1%
13
 
< 0.1%
ValueCountFrequency (%)
-212056
99.8%
13
 
< 0.1%
23
 
< 0.1%
321
 
0.2%
ValueCountFrequency (%)
321
 
0.2%
23
 
< 0.1%
13
 
< 0.1%
-212056
99.8%

LPGDELV
Real number (ℝ)

ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.507738145
Minimum-9
Maximum1
Zeros1921
Zeros (%)15.9%
Negative9341
Negative (%)77.3%
Memory size94.5 KiB
2022-07-26T03:01:46.314599image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-9
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile1
Maximum1
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.100932867
Coefficient of variation (CV)-0.7301883757
Kurtosis8.47829876
Mean-1.507738145
Median Absolute Deviation (MAD)0
Skewness-0.1876876675
Sum-18218
Variance1.212053177
MonotonicityNot monotonic
2022-07-26T03:01:46.341690image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-29290
76.9%
01921
 
15.9%
1821
 
6.8%
-951
 
0.4%
ValueCountFrequency (%)
-951
 
0.4%
-29290
76.9%
01921
 
15.9%
1821
 
6.8%
ValueCountFrequency (%)
1821
 
6.8%
01921
 
15.9%
-29290
76.9%
-951
 
0.4%

KERODEL
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.968716378
Minimum-2
Maximum1
Zeros120
Zeros (%)1.0%
Negative11917
Negative (%)98.6%
Memory size94.5 KiB
2022-07-26T03:01:46.369509image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.270214037
Coefficient of variation (CV)-0.1372539183
Kurtosis80.49757042
Mean-1.968716378
Median Absolute Deviation (MAD)0
Skewness8.890105824
Sum-23788
Variance0.07301562581
MonotonicityNot monotonic
2022-07-26T03:01:46.396856image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-211917
98.6%
0120
 
1.0%
146
 
0.4%
ValueCountFrequency (%)
-211917
98.6%
0120
 
1.0%
146
 
0.4%
ValueCountFrequency (%)
146
 
0.4%
0120
 
1.0%
-211917
98.6%

KEROCASH
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.964495572
Minimum-2
Maximum1
Zeros69
Zeros (%)0.6%
Negative11917
Negative (%)98.6%
Memory size94.5 KiB
2022-07-26T03:01:46.427001image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3063323037
Coefficient of variation (CV)-0.1559343314
Kurtosis77.11341608
Mean-1.964495572
Median Absolute Deviation (MAD)0
Skewness8.782364863
Sum-23737
Variance0.09383948026
MonotonicityNot monotonic
2022-07-26T03:01:46.454333image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-211917
98.6%
197
 
0.8%
069
 
0.6%
ValueCountFrequency (%)
-211917
98.6%
069
 
0.6%
197
 
0.8%
ValueCountFrequency (%)
197
 
0.8%
069
 
0.6%
-211917
98.6%

NOCRCASH
Categorical

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size94.5 KiB
-2
11986 
1
 
24
4
 
12
3
 
12
5
 
9
Other values (14)
 
40

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row-2
2nd row-2
3rd row-2
4th row-2
5th row-2

Common Values

ValueCountFrequency (%)
-211986
99.2%
124
 
0.2%
412
 
0.1%
312
 
0.1%
59
 
0.1%
27
 
0.1%
125
 
< 0.1%
64
 
< 0.1%
164
 
< 0.1%
243
 
< 0.1%
Other values (9)17
 
0.1%

NKRGALNC
Categorical

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size94.5 KiB
-2
11986 
5
 
47
10
 
13
1
 
12
3
 
12
Other values (8)
 
13

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st row-2
2nd row-2
3rd row-2
4th row-2
5th row-2

Common Values

ValueCountFrequency (%)
-211986
99.2%
547
 
0.4%
1013
 
0.1%
112
 
0.1%
312
 
0.1%
153
 
< 0.1%
82
 
< 0.1%
.2
 
< 0.1%
22
 
< 0.1%
771
 
< 0.1%
Other values (3)3
 
< 0.1%

WOODLOGS
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.659190598
Minimum-2
Maximum1
Zeros184
Zeros (%)1.5%
Negative10649
Negative (%)88.1%
Memory size94.5 KiB
2022-07-26T03:01:46.485260image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile1
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9358918922
Coefficient of variation (CV)-0.5640653299
Kurtosis3.911829753
Mean-1.659190598
Median Absolute Deviation (MAD)0
Skewness2.415939685
Sum-20048
Variance0.8758936338
MonotonicityNot monotonic
2022-07-26T03:01:46.512961image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-210649
88.1%
11250
 
10.3%
0184
 
1.5%
ValueCountFrequency (%)
-210649
88.1%
0184
 
1.5%
11250
 
10.3%
ValueCountFrequency (%)
11250
 
10.3%
0184
 
1.5%
-210649
88.1%

WDSCRAP
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.754200116
Minimum-2
Maximum1
Zeros1332
Zeros (%)11.0%
Negative10649
Negative (%)88.1%
Memory size94.5 KiB
2022-07-26T03:01:46.543617image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6756809941
Coefficient of variation (CV)-0.3851789702
Kurtosis4.357576893
Mean-1.754200116
Median Absolute Deviation (MAD)0
Skewness2.458949071
Sum-21196
Variance0.4565448058
MonotonicityNot monotonic
2022-07-26T03:01:46.571367image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-210649
88.1%
01332
 
11.0%
1102
 
0.8%
ValueCountFrequency (%)
-210649
88.1%
01332
 
11.0%
1102
 
0.8%
ValueCountFrequency (%)
1102
 
0.8%
01332
 
11.0%
-210649
88.1%

WDPELLET
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.753869072
Minimum-2
Maximum1
Zeros1328
Zeros (%)11.0%
Negative10649
Negative (%)88.1%
Memory size94.5 KiB
2022-07-26T03:01:46.601669image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6767845277
Coefficient of variation (CV)-0.3858808724
Kurtosis4.380779449
Mean-1.753869072
Median Absolute Deviation (MAD)0
Skewness2.46202321
Sum-21192
Variance0.4580372969
MonotonicityNot monotonic
2022-07-26T03:01:46.629136image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-210649
88.1%
01328
 
11.0%
1106
 
0.9%
ValueCountFrequency (%)
-210649
88.1%
01328
 
11.0%
1106
 
0.9%
ValueCountFrequency (%)
1106
 
0.9%
01328
 
11.0%
-210649
88.1%

WDOTHER
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.756931226
Minimum-2
Maximum1
Zeros1365
Zeros (%)11.3%
Negative10649
Negative (%)88.1%
Memory size94.5 KiB
2022-07-26T03:01:46.659197image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.666500856
Coefficient of variation (CV)-0.37935512
Kurtosis4.145489284
Mean-1.756931226
Median Absolute Deviation (MAD)0
Skewness2.431295789
Sum-21229
Variance0.444223391
MonotonicityNot monotonic
2022-07-26T03:01:46.686632image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-210649
88.1%
01365
 
11.3%
169
 
0.6%
ValueCountFrequency (%)
-210649
88.1%
01365
 
11.3%
169
 
0.6%
ValueCountFrequency (%)
169
 
0.6%
01365
 
11.3%
-210649
88.1%

WOODAMT
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.498468923
Minimum-2
Maximum5
Zeros0
Zeros (%)0.0%
Negative10649
Negative (%)88.1%
Memory size94.5 KiB
2022-07-26T03:01:46.717252image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile2
Maximum5
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.442798925
Coefficient of variation (CV)-0.9628487465
Kurtosis7.235083179
Mean-1.498468923
Median Absolute Deviation (MAD)0
Skewness2.863616681
Sum-18106
Variance2.081668737
MonotonicityNot monotonic
2022-07-26T03:01:46.746003image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-210649
88.1%
1638
 
5.3%
2261
 
2.2%
4227
 
1.9%
3208
 
1.7%
5100
 
0.8%
ValueCountFrequency (%)
-210649
88.1%
1638
 
5.3%
2261
 
2.2%
3208
 
1.7%
4227
 
1.9%
ValueCountFrequency (%)
5100
 
0.8%
4227
 
1.9%
3208
 
1.7%
2261
2.2%
1638
5.3%

NUMCORDS
Real number (ℝ)

Distinct17
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.915645949
Minimum-2
Maximum30
Zeros0
Zeros (%)0.0%
Negative11983
Negative (%)99.2%
Memory size94.5 KiB
2022-07-26T03:01:46.779756image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum30
Range32
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9914209317
Coefficient of variation (CV)-0.5175387092
Kurtosis247.163766
Mean-1.915645949
Median Absolute Deviation (MAD)0
Skewness14.14407396
Sum-23146.75
Variance0.9829154638
MonotonicityNot monotonic
2022-07-26T03:01:46.812176image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
-211983
99.2%
626
 
0.2%
517
 
0.1%
714
 
0.1%
811
 
0.1%
108
 
0.1%
156
 
< 0.1%
123
 
< 0.1%
93
 
< 0.1%
7.53
 
< 0.1%
Other values (7)9
 
0.1%
ValueCountFrequency (%)
-211983
99.2%
517
 
0.1%
5.251
 
< 0.1%
5.51
 
< 0.1%
626
 
0.2%
ValueCountFrequency (%)
301
 
< 0.1%
201
 
< 0.1%
182
 
< 0.1%
156
< 0.1%
141
 
< 0.1%

KFUELOT
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01133824381
Minimum0
Maximum1
Zeros11946
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:46.844885image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1058801957
Coefficient of variation (CV)9.338324122
Kurtosis83.24348763
Mean0.01133824381
Median Absolute Deviation (MAD)0
Skewness9.231993774
Sum137
Variance0.01121061584
MonotonicityNot monotonic
2022-07-26T03:01:46.874289image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
011946
98.9%
1137
 
1.1%
ValueCountFrequency (%)
011946
98.9%
1137
 
1.1%
ValueCountFrequency (%)
1137
 
1.1%
011946
98.9%

HHSEX
Real number (ℝ≥0)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.470247455
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:46.904084image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4991346559
Coefficient of variation (CV)0.3394902363
Kurtosis-1.986111491
Mean1.470247455
Median Absolute Deviation (MAD)0
Skewness0.1192362424
Sum17765
Variance0.2491354047
MonotonicityNot monotonic
2022-07-26T03:01:46.933565image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
16401
53.0%
25682
47.0%
ValueCountFrequency (%)
16401
53.0%
25682
47.0%
ValueCountFrequency (%)
25682
47.0%
16401
53.0%

EMPLOYHH
Real number (ℝ≥0)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7303649756
Minimum0
Maximum2
Zeros4596
Zeros (%)38.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:46.963700image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6468653542
Coefficient of variation (CV)0.8856741162
Kurtosis-0.7224975285
Mean0.7303649756
Median Absolute Deviation (MAD)0
Skewness0.3267296439
Sum8825
Variance0.4184347865
MonotonicityNot monotonic
2022-07-26T03:01:46.993482image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
16149
50.9%
04596
38.0%
21338
 
11.1%
ValueCountFrequency (%)
04596
38.0%
16149
50.9%
21338
 
11.1%
ValueCountFrequency (%)
21338
 
11.1%
16149
50.9%
04596
38.0%

SPOUSE
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5942232889
Minimum0
Maximum1
Zeros4903
Zeros (%)40.6%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:47.025752image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4910620419
Coefficient of variation (CV)0.826393127
Kurtosis-1.852991537
Mean0.5942232889
Median Absolute Deviation (MAD)0
Skewness-0.3838166239
Sum7180
Variance0.2411419289
MonotonicityNot monotonic
2022-07-26T03:01:47.056402image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
17180
59.4%
04903
40.6%
ValueCountFrequency (%)
04903
40.6%
17180
59.4%
ValueCountFrequency (%)
17180
59.4%
04903
40.6%

SDESCENT
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1385417529
Minimum0
Maximum1
Zeros10409
Zeros (%)86.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:47.091521image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3454820021
Coefficient of variation (CV)2.493703125
Kurtosis2.380344394
Mean0.1385417529
Median Absolute Deviation (MAD)0
Skewness2.092833109
Sum1674
Variance0.1193578137
MonotonicityNot monotonic
2022-07-26T03:01:47.120847image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
010409
86.1%
11674
 
13.9%
ValueCountFrequency (%)
010409
86.1%
11674
 
13.9%
ValueCountFrequency (%)
11674
 
13.9%
010409
86.1%

Householder_Race
Real number (ℝ≥0)

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.442191509
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:47.149899image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile4
Maximum7
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.141473025
Coefficient of variation (CV)0.7914850544
Kurtosis10.6758597
Mean1.442191509
Median Absolute Deviation (MAD)0
Skewness3.253988328
Sum17426
Variance1.302960666
MonotonicityNot monotonic
2022-07-26T03:01:47.177675image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
19578
79.3%
21517
 
12.6%
4457
 
3.8%
6211
 
1.7%
7170
 
1.4%
3110
 
0.9%
540
 
0.3%
ValueCountFrequency (%)
19578
79.3%
21517
 
12.6%
3110
 
0.9%
4457
 
3.8%
540
 
0.3%
ValueCountFrequency (%)
7170
 
1.4%
6211
1.7%
540
 
0.3%
4457
3.8%
3110
 
0.9%

EDUCATION
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.391459075
Minimum0
Maximum8
Zeros200
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:47.209765image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum8
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.683744069
Coefficient of variation (CV)0.4964659845
Kurtosis-0.5145767832
Mean3.391459075
Median Absolute Deviation (MAD)1
Skewness0.3887769146
Sum40979
Variance2.834994088
MonotonicityNot monotonic
2022-07-26T03:01:47.241862image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
23193
26.4%
32701
22.4%
52428
20.1%
41193
 
9.9%
11033
 
8.5%
6957
 
7.9%
7221
 
1.8%
0200
 
1.7%
8157
 
1.3%
ValueCountFrequency (%)
0200
 
1.7%
11033
 
8.5%
23193
26.4%
32701
22.4%
41193
 
9.9%
ValueCountFrequency (%)
8157
 
1.3%
7221
 
1.8%
6957
 
7.9%
52428
20.1%
41193
9.9%

NHSLDMEM
Real number (ℝ≥0)

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.665645949
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:47.362965image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile5
Maximum14
Range13
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.515663668
Coefficient of variation (CV)0.5685915148
Kurtosis2.543374411
Mean2.665645949
Median Absolute Deviation (MAD)1
Skewness1.241918634
Sum32209
Variance2.297236354
MonotonicityNot monotonic
2022-07-26T03:01:47.398201image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
24052
33.5%
12785
23.0%
32070
17.1%
41749
14.5%
5859
 
7.1%
6343
 
2.8%
7128
 
1.1%
852
 
0.4%
926
 
0.2%
108
 
0.1%
Other values (3)11
 
0.1%
ValueCountFrequency (%)
12785
23.0%
24052
33.5%
32070
17.1%
41749
14.5%
5859
 
7.1%
ValueCountFrequency (%)
144
 
< 0.1%
122
 
< 0.1%
115
 
< 0.1%
108
 
0.1%
926
0.2%

HHAGE
Real number (ℝ≥0)

Distinct69
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.74137218
Minimum16
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:47.440103image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile25
Q137
median49
Q362
95-th percentile80
Maximum85
Range69
Interquartile range (IQR)25

Descriptive statistics

Standard deviation16.72205966
Coefficient of variation (CV)0.3361801038
Kurtosis-0.7383360897
Mean49.74137218
Median Absolute Deviation (MAD)13
Skewness0.2523513259
Sum601025
Variance279.6272793
MonotonicityNot monotonic
2022-07-26T03:01:47.483981image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85319
 
2.6%
49292
 
2.4%
50287
 
2.4%
52276
 
2.3%
55272
 
2.3%
45272
 
2.3%
48272
 
2.3%
47271
 
2.2%
40265
 
2.2%
42255
 
2.1%
Other values (59)9302
77.0%
ValueCountFrequency (%)
161
 
< 0.1%
1821
 
0.2%
1941
 
0.3%
2081
0.7%
21103
0.9%
ValueCountFrequency (%)
85319
2.6%
8457
 
0.5%
8369
 
0.6%
8264
 
0.5%
8175
 
0.6%

AGEHHMEMCAT2
Real number (ℝ)

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.924687578
Minimum-2
Maximum18
Zeros0
Zeros (%)0.0%
Negative2785
Negative (%)23.0%
Memory size94.5 KiB
2022-07-26T03:01:47.524991image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q13
median8
Q311
95-th percentile15
Maximum18
Range20
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.876955702
Coefficient of variation (CV)0.8486961521
Kurtosis-1.023386953
Mean6.924687578
Median Absolute Deviation (MAD)4
Skewness-0.3017471019
Sum83671
Variance34.53860832
MonotonicityNot monotonic
2022-07-26T03:01:47.558821image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-22785
23.0%
10961
 
8.0%
11926
 
7.7%
9858
 
7.1%
8843
 
7.0%
12789
 
6.5%
7777
 
6.4%
6760
 
6.3%
13666
 
5.5%
5497
 
4.1%
Other values (9)2221
18.4%
ValueCountFrequency (%)
-22785
23.0%
187
 
0.7%
2148
 
1.2%
3230
 
1.9%
4334
 
2.8%
ValueCountFrequency (%)
18175
 
1.4%
17164
 
1.4%
16265
2.2%
15330
2.7%
14488
4.0%

AGEHHMEMCAT3
Real number (ℝ)

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7682694695
Minimum-2
Maximum18
Zeros0
Zeros (%)0.0%
Negative6837
Negative (%)56.6%
Memory size94.5 KiB
2022-07-26T03:01:47.596431image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q33
95-th percentile8
Maximum18
Range20
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.690016086
Coefficient of variation (CV)4.8030232
Kurtosis1.163850576
Mean0.7682694695
Median Absolute Deviation (MAD)0
Skewness1.251156145
Sum9283
Variance13.61621871
MonotonicityNot monotonic
2022-07-26T03:01:47.631715image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-26837
56.6%
41087
 
9.0%
3896
 
7.4%
2777
 
6.4%
5629
 
5.2%
1622
 
5.1%
6348
 
2.9%
7223
 
1.8%
8135
 
1.1%
9132
 
1.1%
Other values (9)397
 
3.3%
ValueCountFrequency (%)
-26837
56.6%
1622
 
5.1%
2777
 
6.4%
3896
 
7.4%
41087
 
9.0%
ValueCountFrequency (%)
184
 
< 0.1%
176
 
< 0.1%
1612
 
0.1%
1515
0.1%
1434
0.3%

AGEHHMEMCAT4
Real number (ℝ)

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6505834644
Minimum-2
Maximum14
Zeros0
Zeros (%)0.0%
Negative8907
Negative (%)73.7%
Memory size94.5 KiB
2022-07-26T03:01:47.668944image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q31
95-th percentile4
Maximum14
Range16
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.467513866
Coefficient of variation (CV)-3.792770646
Kurtosis2.526495188
Mean-0.6505834644
Median Absolute Deviation (MAD)0
Skewness1.752677745
Sum-7861
Variance6.08862468
MonotonicityNot monotonic
2022-07-26T03:01:47.700724image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
-28907
73.7%
2730
 
6.0%
3687
 
5.7%
1645
 
5.3%
4534
 
4.4%
5272
 
2.3%
6125
 
1.0%
776
 
0.6%
838
 
0.3%
923
 
0.2%
Other values (5)46
 
0.4%
ValueCountFrequency (%)
-28907
73.7%
1645
 
5.3%
2730
 
6.0%
3687
 
5.7%
4534
 
4.4%
ValueCountFrequency (%)
141
 
< 0.1%
133
 
< 0.1%
125
 
< 0.1%
1115
0.1%
1022
0.2%

AGEHHMEMCAT5
Real number (ℝ)

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.456591906
Minimum-2
Maximum18
Zeros0
Zeros (%)0.0%
Negative10656
Negative (%)88.2%
Memory size94.5 KiB
2022-07-26T03:01:47.736051image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile3
Maximum18
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.593418388
Coefficient of variation (CV)-1.093936045
Kurtosis11.55116198
Mean-1.456591906
Median Absolute Deviation (MAD)0
Skewness3.196384618
Sum-17600
Variance2.53898216
MonotonicityNot monotonic
2022-07-26T03:01:47.768615image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-210656
88.2%
1424
 
3.5%
2375
 
3.1%
3298
 
2.5%
4181
 
1.5%
573
 
0.6%
639
 
0.3%
715
 
0.1%
107
 
0.1%
87
 
0.1%
Other values (4)8
 
0.1%
ValueCountFrequency (%)
-210656
88.2%
1424
 
3.5%
2375
 
3.1%
3298
 
2.5%
4181
 
1.5%
ValueCountFrequency (%)
181
 
< 0.1%
121
 
< 0.1%
113
< 0.1%
107
0.1%
93
< 0.1%

AGEHHMEMCAT6
Real number (ℝ)

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.790863196
Minimum-2
Maximum16
Zeros0
Zeros (%)0.0%
Negative11515
Negative (%)95.3%
Memory size94.5 KiB
2022-07-26T03:01:47.804332image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum16
Range18
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.011132836
Coefficient of variation (CV)-0.5646064079
Kurtosis40.43512144
Mean-1.790863196
Median Absolute Deviation (MAD)0
Skewness5.687267229
Sum-21639
Variance1.022389612
MonotonicityNot monotonic
2022-07-26T03:01:47.838115image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-211515
95.3%
1193
 
1.6%
2159
 
1.3%
399
 
0.8%
471
 
0.6%
521
 
0.2%
612
 
0.1%
74
 
< 0.1%
82
 
< 0.1%
92
 
< 0.1%
Other values (4)5
 
< 0.1%
ValueCountFrequency (%)
-211515
95.3%
1193
 
1.6%
2159
 
1.3%
399
 
0.8%
471
 
0.6%
ValueCountFrequency (%)
161
< 0.1%
131
< 0.1%
111
< 0.1%
102
< 0.1%
92
< 0.1%

AGEHHMEMCAT7
Real number (ℝ)

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.920797815
Minimum-2
Maximum11
Zeros0
Zeros (%)0.0%
Negative11858
Negative (%)98.1%
Memory size94.5 KiB
2022-07-26T03:01:47.875738image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum11
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6215255026
Coefficient of variation (CV)-0.3235767439
Kurtosis114.6109612
Mean-1.920797815
Median Absolute Deviation (MAD)0
Skewness9.573486354
Sum-23209
Variance0.3862939504
MonotonicityNot monotonic
2022-07-26T03:01:47.910265image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-211858
98.1%
195
 
0.8%
259
 
0.5%
338
 
0.3%
417
 
0.1%
57
 
0.1%
63
 
< 0.1%
112
 
< 0.1%
102
 
< 0.1%
81
 
< 0.1%
ValueCountFrequency (%)
-211858
98.1%
195
 
0.8%
259
 
0.5%
338
 
0.3%
417
 
0.1%
ValueCountFrequency (%)
112
< 0.1%
102
< 0.1%
91
 
< 0.1%
81
 
< 0.1%
63
< 0.1%

AGEHHMEMCAT8
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.967640487
Minimum-2
Maximum9
Zeros0
Zeros (%)0.0%
Negative11986
Negative (%)99.2%
Memory size94.5 KiB
2022-07-26T03:01:47.943288image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum9
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3853752796
Coefficient of variation (CV)-0.1958565511
Kurtosis246.3415385
Mean-1.967640487
Median Absolute Deviation (MAD)0
Skewness14.24160332
Sum-23775
Variance0.1485141061
MonotonicityNot monotonic
2022-07-26T03:01:47.973203image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-211986
99.2%
147
 
0.4%
226
 
0.2%
316
 
0.1%
53
 
< 0.1%
82
 
< 0.1%
41
 
< 0.1%
61
 
< 0.1%
91
 
< 0.1%
ValueCountFrequency (%)
-211986
99.2%
147
 
0.4%
226
 
0.2%
316
 
0.1%
41
 
< 0.1%
ValueCountFrequency (%)
91
 
< 0.1%
82
< 0.1%
61
 
< 0.1%
53
< 0.1%
41
 
< 0.1%

AGEHHMEMCAT9
Real number (ℝ)

SKEWED

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.985516842
Minimum-2
Maximum8
Zeros0
Zeros (%)0.0%
Negative12038
Negative (%)99.6%
Memory size94.5 KiB
2022-07-26T03:01:48.004373image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum8
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2521986496
Coefficient of variation (CV)-0.127019144
Kurtosis511.5736614
Mean-1.985516842
Median Absolute Deviation (MAD)0
Skewness20.6094552
Sum-23991
Variance0.06360415886
MonotonicityNot monotonic
2022-07-26T03:01:48.035681image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
-212038
99.6%
123
 
0.2%
215
 
0.1%
33
 
< 0.1%
51
 
< 0.1%
61
 
< 0.1%
41
 
< 0.1%
81
 
< 0.1%
ValueCountFrequency (%)
-212038
99.6%
123
 
0.2%
215
 
0.1%
33
 
< 0.1%
41
 
< 0.1%
ValueCountFrequency (%)
81
 
< 0.1%
61
 
< 0.1%
51
 
< 0.1%
41
 
< 0.1%
33
< 0.1%

AGEHHMEMCAT10
Real number (ℝ)

SKEWED

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.992882562
Minimum-2
Maximum8
Zeros0
Zeros (%)0.0%
Negative12064
Negative (%)99.8%
Memory size94.5 KiB
2022-07-26T03:01:48.067758image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum8
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1975239672
Coefficient of variation (CV)-0.09911470498
Kurtosis1328.611435
Mean-1.992882562
Median Absolute Deviation (MAD)0
Skewness33.81417417
Sum-24080
Variance0.03901571763
MonotonicityNot monotonic
2022-07-26T03:01:48.099248image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-212064
99.8%
28
 
0.1%
17
 
0.1%
71
 
< 0.1%
41
 
< 0.1%
61
 
< 0.1%
81
 
< 0.1%
ValueCountFrequency (%)
-212064
99.8%
17
 
0.1%
28
 
0.1%
41
 
< 0.1%
61
 
< 0.1%
ValueCountFrequency (%)
81
 
< 0.1%
71
 
< 0.1%
61
 
< 0.1%
41
 
< 0.1%
28
0.1%

AGEHHMEMCAT11
Real number (ℝ)

SKEWED

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.996192998
Minimum-2
Maximum4
Zeros0
Zeros (%)0.0%
Negative12072
Negative (%)99.9%
Memory size94.5 KiB
2022-07-26T03:01:48.129465image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum4
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1298850541
Coefficient of variation (CV)-0.06506638098
Kurtosis1371.931804
Mean-1.996192998
Median Absolute Deviation (MAD)0
Skewness36.10473251
Sum-24120
Variance0.01687012729
MonotonicityNot monotonic
2022-07-26T03:01:48.157490image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-212072
99.9%
25
 
< 0.1%
13
 
< 0.1%
42
 
< 0.1%
31
 
< 0.1%
ValueCountFrequency (%)
-212072
99.9%
13
 
< 0.1%
25
 
< 0.1%
31
 
< 0.1%
42
 
< 0.1%
ValueCountFrequency (%)
42
 
< 0.1%
31
 
< 0.1%
25
 
< 0.1%
13
 
< 0.1%
-212072
99.9%

AGEHHMEMCAT12
Real number (ℝ)

SKEWED

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.998096499
Minimum-2
Maximum2
Zeros0
Zeros (%)0.0%
Negative12077
Negative (%)> 99.9%
Memory size94.5 KiB
2022-07-26T03:01:48.188429image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum2
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.08580621459
Coefficient of variation (CV)-0.04294397925
Kurtosis2071.992627
Mean-1.998096499
Median Absolute Deviation (MAD)0
Skewness45.40147442
Sum-24143
Variance0.007362706463
MonotonicityNot monotonic
2022-07-26T03:01:48.218029image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-212077
> 99.9%
25
 
< 0.1%
11
 
< 0.1%
ValueCountFrequency (%)
-212077
> 99.9%
11
 
< 0.1%
25
 
< 0.1%
ValueCountFrequency (%)
25
 
< 0.1%
11
 
< 0.1%
-212077
> 99.9%

AGEHHMEMCAT13
Real number (ℝ)

SKEWED

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.998924108
Minimum-2
Maximum2
Zeros0
Zeros (%)0.0%
Negative12079
Negative (%)> 99.9%
Memory size94.5 KiB
2022-07-26T03:01:48.250483image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum2
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05964776416
Coefficient of variation (CV)-0.02983993435
Kurtosis3257.299004
Mean-1.998924108
Median Absolute Deviation (MAD)0
Skewness56.50706504
Sum-24153
Variance0.00355785577
MonotonicityNot monotonic
2022-07-26T03:01:48.365913image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-212079
> 99.9%
13
 
< 0.1%
21
 
< 0.1%
ValueCountFrequency (%)
-212079
> 99.9%
13
 
< 0.1%
21
 
< 0.1%
ValueCountFrequency (%)
21
 
< 0.1%
13
 
< 0.1%
-212079
> 99.9%

AGEHHMEMCAT14
Real number (ℝ)

SKEWED

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.999006869
Minimum-2
Maximum1
Zeros0
Zeros (%)0.0%
Negative12079
Negative (%)> 99.9%
Memory size94.5 KiB
2022-07-26T03:01:48.397196image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum1
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.05457703493
Coefficient of variation (CV)-0.02730207473
Kurtosis3016.999131
Mean-1.999006869
Median Absolute Deviation (MAD)0
Skewness54.94087505
Sum-24154
Variance0.002978652742
MonotonicityNot monotonic
2022-07-26T03:01:48.424102image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
-212079
> 99.9%
14
 
< 0.1%
ValueCountFrequency (%)
-212079
> 99.9%
14
 
< 0.1%
ValueCountFrequency (%)
14
 
< 0.1%
-212079
> 99.9%

HBUSNESS
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08516096996
Minimum0
Maximum1
Zeros11054
Zeros (%)91.5%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:48.454294image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2791326342
Coefficient of variation (CV)3.277706141
Kurtosis6.838883048
Mean0.08516096996
Median Absolute Deviation (MAD)0
Skewness2.97283553
Sum1029
Variance0.07791502747
MonotonicityNot monotonic
2022-07-26T03:01:48.482866image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
011054
91.5%
11029
 
8.5%
ValueCountFrequency (%)
011054
91.5%
11029
 
8.5%
ValueCountFrequency (%)
11029
 
8.5%
011054
91.5%

ATHOME
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5694777787
Minimum0
Maximum1
Zeros5202
Zeros (%)43.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:48.511764image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4951697998
Coefficient of variation (CV)0.8695155779
Kurtosis-1.921543282
Mean0.5694777787
Median Absolute Deviation (MAD)0
Skewness-0.2806684928
Sum6881
Variance0.2451931307
MonotonicityNot monotonic
2022-07-26T03:01:48.541192image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
16881
56.9%
05202
43.1%
ValueCountFrequency (%)
05202
43.1%
16881
56.9%
ValueCountFrequency (%)
16881
56.9%
05202
43.1%

TELLWORK
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08689894894
Minimum0
Maximum1
Zeros11033
Zeros (%)91.3%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:48.571056image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2816985783
Coefficient of variation (CV)3.241679926
Kurtosis6.606017894
Mean0.08689894894
Median Absolute Deviation (MAD)0
Skewness2.933415157
Sum1050
Variance0.07935408903
MonotonicityNot monotonic
2022-07-26T03:01:48.599667image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
011033
91.3%
11050
 
8.7%
ValueCountFrequency (%)
011033
91.3%
11050
 
8.7%
ValueCountFrequency (%)
11050
 
8.7%
011033
91.3%

TELLDAYS
Real number (ℝ)

Distinct29
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9135148556
Minimum-2
Maximum31
Zeros7
Zeros (%)0.1%
Negative11033
Negative (%)91.3%
Memory size94.5 KiB
2022-07-26T03:01:48.633460image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile5
Maximum31
Range33
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.409968834
Coefficient of variation (CV)-4.827473584
Kurtosis24.77338116
Mean-0.9135148556
Median Absolute Deviation (MAD)0
Skewness4.875651955
Sum-11038
Variance19.44782511
MonotonicityNot monotonic
2022-07-26T03:01:48.669505image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
-211033
91.3%
20155
 
1.3%
4120
 
1.0%
5111
 
0.9%
2110
 
0.9%
192
 
0.8%
368
 
0.6%
1059
 
0.5%
3051
 
0.4%
850
 
0.4%
Other values (19)234
 
1.9%
ValueCountFrequency (%)
-211033
91.3%
07
 
0.1%
192
 
0.8%
2110
 
0.9%
368
 
0.6%
ValueCountFrequency (%)
315
 
< 0.1%
3051
0.4%
291
 
< 0.1%
2815
 
0.1%
271
 
< 0.1%

OTHWORK
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01944881238
Minimum0
Maximum1
Zeros11848
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:48.704004image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.138101899
Coefficient of variation (CV)7.100788279
Kurtosis46.45657409
Mean0.01944881238
Median Absolute Deviation (MAD)0
Skewness6.960523295
Sum235
Variance0.01907213451
MonotonicityNot monotonic
2022-07-26T03:01:48.733381image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
011848
98.1%
1235
 
1.9%
ValueCountFrequency (%)
011848
98.1%
1235
 
1.9%
ValueCountFrequency (%)
1235
 
1.9%
011848
98.1%

WORKPAY
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7667797732
Minimum0
Maximum1
Zeros2818
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:48.763185image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4228987513
Coefficient of variation (CV)0.5515257001
Kurtosis-0.4077239897
Mean0.7667797732
Median Absolute Deviation (MAD)0
Skewness-1.261880947
Sum9265
Variance0.1788433538
MonotonicityNot monotonic
2022-07-26T03:01:48.791579image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
19265
76.7%
02818
 
23.3%
ValueCountFrequency (%)
02818
 
23.3%
19265
76.7%
ValueCountFrequency (%)
19265
76.7%
02818
 
23.3%

RETIREPY
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2952081437
Minimum0
Maximum1
Zeros8516
Zeros (%)70.5%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:48.820372image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.456155145
Coefficient of variation (CV)1.545198379
Kurtosis-1.193698331
Mean0.2952081437
Median Absolute Deviation (MAD)0
Skewness0.8980530494
Sum3567
Variance0.2080775163
MonotonicityNot monotonic
2022-07-26T03:01:48.850378image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
08516
70.5%
13567
29.5%
ValueCountFrequency (%)
08516
70.5%
13567
29.5%
ValueCountFrequency (%)
13567
29.5%
08516
70.5%

SSINCOME
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07754696681
Minimum0
Maximum1
Zeros11146
Zeros (%)92.2%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:48.880747image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2674684195
Coefficient of variation (CV)3.449115168
Kurtosis7.983276576
Mean0.07754696681
Median Absolute Deviation (MAD)0
Skewness3.159423238
Sum937
Variance0.07153935541
MonotonicityNot monotonic
2022-07-26T03:01:48.909487image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
011146
92.2%
1937
 
7.8%
ValueCountFrequency (%)
011146
92.2%
1937
 
7.8%
ValueCountFrequency (%)
1937
 
7.8%
011146
92.2%

CASHBEN
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02515931474
Minimum0
Maximum1
Zeros11779
Zeros (%)97.5%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:48.938717image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1566153045
Coefficient of variation (CV)6.224943173
Kurtosis34.78740921
Mean0.02515931474
Median Absolute Deviation (MAD)0
Skewness6.064787809
Sum304
Variance0.02452835361
MonotonicityNot monotonic
2022-07-26T03:01:48.967945image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
011779
97.5%
1304
 
2.5%
ValueCountFrequency (%)
011779
97.5%
1304
 
2.5%
ValueCountFrequency (%)
1304
 
2.5%
011779
97.5%

INVESTMT
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2280062898
Minimum0
Maximum1
Zeros9328
Zeros (%)77.2%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:48.997437image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.419564048
Coefficient of variation (CV)1.840142429
Kurtosis-0.3184439725
Mean0.2280062898
Median Absolute Deviation (MAD)0
Skewness1.296768586
Sum2755
Variance0.1760339904
MonotonicityNot monotonic
2022-07-26T03:01:49.025745image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
09328
77.2%
12755
 
22.8%
ValueCountFrequency (%)
09328
77.2%
12755
 
22.8%
ValueCountFrequency (%)
12755
 
22.8%
09328
77.2%

RGLRPAY
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1512869321
Minimum0
Maximum1
Zeros10255
Zeros (%)84.9%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:49.054658image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3583431645
Coefficient of variation (CV)2.368632635
Kurtosis1.789447666
Mean0.1512869321
Median Absolute Deviation (MAD)0
Skewness1.946574299
Sum1828
Variance0.1284098236
MonotonicityNot monotonic
2022-07-26T03:01:49.083596image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
010255
84.9%
11828
 
15.1%
ValueCountFrequency (%)
010255
84.9%
11828
 
15.1%
ValueCountFrequency (%)
11828
 
15.1%
010255
84.9%

MONEYPY
Real number (ℝ≥0)

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.02739386
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:49.116017image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q18
median12
Q319
95-th percentile24
Maximum24
Range23
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.804077844
Coefficient of variation (CV)0.5222900234
Kurtosis-1.098204624
Mean13.02739386
Median Absolute Deviation (MAD)5
Skewness0.2523223951
Sum157410
Variance46.2954753
MonotonicityNot monotonic
2022-07-26T03:01:49.153400image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
241389
 
11.5%
12787
 
6.5%
8755
 
6.2%
7746
 
6.2%
9698
 
5.8%
5686
 
5.7%
10671
 
5.6%
23653
 
5.4%
11622
 
5.1%
6602
 
5.0%
Other values (14)4474
37.0%
ValueCountFrequency (%)
1310
2.6%
2152
 
1.3%
3176
 
1.5%
4328
2.7%
5686
5.7%
ValueCountFrequency (%)
241389
11.5%
23653
5.4%
22250
 
2.1%
21231
 
1.9%
20287
 
2.4%

POVERTY100
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1386245138
Minimum0
Maximum1
Zeros10408
Zeros (%)86.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:49.186587image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3455685765
Coefficient of variation (CV)2.492838872
Kurtosis2.37614491
Mean0.1386245138
Median Absolute Deviation (MAD)0
Skewness2.091829733
Sum1675
Variance0.1194176411
MonotonicityNot monotonic
2022-07-26T03:01:49.215317image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
010408
86.1%
11675
 
13.9%
ValueCountFrequency (%)
010408
86.1%
11675
 
13.9%
ValueCountFrequency (%)
11675
 
13.9%
010408
86.1%

POVERTY150
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2311512042
Minimum0
Maximum1
Zeros9290
Zeros (%)76.9%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:49.244455image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.421586331
Coefficient of variation (CV)1.823855223
Kurtosis-0.3728393103
Mean0.2311512042
Median Absolute Deviation (MAD)0
Skewness1.275626289
Sum2793
Variance0.1777350345
MonotonicityNot monotonic
2022-07-26T03:01:49.272889image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
09290
76.9%
12793
 
23.1%
ValueCountFrequency (%)
09290
76.9%
12793
 
23.1%
ValueCountFrequency (%)
12793
 
23.1%
09290
76.9%

HUPROJ
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.306380866
Minimum-2
Maximum1
Zeros3448
Zeros (%)28.5%
Negative8140
Negative (%)67.4%
Memory size94.5 KiB
2022-07-26T03:01:49.385834image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q30
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.014453487
Coefficient of variation (CV)-0.776537313
Kurtosis-0.9730404235
Mean-1.306380866
Median Absolute Deviation (MAD)0
Skewness0.8757090783
Sum-15785
Variance1.029115878
MonotonicityNot monotonic
2022-07-26T03:01:49.414117image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-28140
67.4%
03448
28.5%
1495
 
4.1%
ValueCountFrequency (%)
-28140
67.4%
03448
28.5%
1495
 
4.1%
ValueCountFrequency (%)
1495
 
4.1%
03448
28.5%
-28140
67.4%

RENTHELP
Real number (ℝ)

ZEROS

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.415211454
Minimum-2
Maximum1
Zeros3278
Zeros (%)27.1%
Negative8635
Negative (%)71.5%
Memory size94.5 KiB
2022-07-26T03:01:49.445048image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q30
95-th percentile0
Maximum1
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.932673309
Coefficient of variation (CV)-0.6590345961
Kurtosis-0.8182216007
Mean-1.415211454
Median Absolute Deviation (MAD)0
Skewness1.016196906
Sum-17100
Variance0.8698795013
MonotonicityNot monotonic
2022-07-26T03:01:49.471625image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-28635
71.5%
03278
 
27.1%
1170
 
1.4%
ValueCountFrequency (%)
-28635
71.5%
03278
 
27.1%
1170
 
1.4%
ValueCountFrequency (%)
1170
 
1.4%
03278
 
27.1%
-28635
71.5%

FOODASST
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.106596044
Minimum0
Maximum1
Zeros10795
Zeros (%)89.3%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:49.501414image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3086117458
Coefficient of variation (CV)2.89515196
Kurtosis4.5028853
Mean0.106596044
Median Absolute Deviation (MAD)0
Skewness2.549929411
Sum1288
Variance0.09524120967
MonotonicityNot monotonic
2022-07-26T03:01:49.530090image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
010795
89.3%
11288
 
10.7%
ValueCountFrequency (%)
010795
89.3%
11288
 
10.7%
ValueCountFrequency (%)
11288
 
10.7%
010795
89.3%

TOTSQFT
Real number (ℝ≥0)

Distinct3756
Distinct (%)31.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2172.352892
Minimum100
Maximum16122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:49.568283image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile605
Q11087.5
median1863
Q32816
95-th percentile4886.5
Maximum16122
Range16022
Interquartile range (IQR)1728.5

Descriptive statistics

Standard deviation1453.742279
Coefficient of variation (CV)0.6692017141
Kurtosis5.803823674
Mean2172.352892
Median Absolute Deviation (MAD)842
Skewness1.785197708
Sum26248540
Variance2113366.614
MonotonicityNot monotonic
2022-07-26T03:01:49.614283image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
180051
 
0.4%
84050
 
0.4%
240049
 
0.4%
120047
 
0.4%
192042
 
0.3%
144041
 
0.3%
168036
 
0.3%
96034
 
0.3%
201632
 
0.3%
90032
 
0.3%
Other values (3746)11669
96.6%
ValueCountFrequency (%)
1003
< 0.1%
1201
 
< 0.1%
1362
< 0.1%
1441
 
< 0.1%
1462
< 0.1%
ValueCountFrequency (%)
161221
< 0.1%
137761
< 0.1%
135801
< 0.1%
135521
< 0.1%
128821
< 0.1%

TOTSQFT_EN
Real number (ℝ≥0)

Distinct3644
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2021.674253
Minimum100
Maximum15472
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:49.663363image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile600.2
Q11052
median1696
Q32606
95-th percentile4567.9
Maximum15472
Range15372
Interquartile range (IQR)1554

Descriptive statistics

Standard deviation1350.866572
Coefficient of variation (CV)0.6681920046
Kurtosis6.982226522
Mean2021.674253
Median Absolute Deviation (MAD)725
Skewness1.961388985
Sum24427890
Variance1824840.495
MonotonicityNot monotonic
2022-07-26T03:01:49.709241image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
120051
 
0.4%
84050
 
0.4%
180043
 
0.4%
144037
 
0.3%
168036
 
0.3%
240035
 
0.3%
96034
 
0.3%
192034
 
0.3%
90034
 
0.3%
128031
 
0.3%
Other values (3634)11698
96.8%
ValueCountFrequency (%)
1003
< 0.1%
1201
 
< 0.1%
1362
< 0.1%
1441
 
< 0.1%
1462
< 0.1%
ValueCountFrequency (%)
154721
< 0.1%
137761
< 0.1%
131801
< 0.1%
131521
< 0.1%
122321
< 0.1%

TOTHSQFT
Real number (ℝ≥0)

ZEROS

Distinct3467
Distinct (%)28.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1675.956219
Minimum0
Maximum13776
Zeros446
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:49.757337image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile250
Q1888
median1400
Q32160
95-th percentile3915
Maximum13776
Range13776
Interquartile range (IQR)1272

Descriptive statistics

Standard deviation1200.819335
Coefficient of variation (CV)0.7164980332
Kurtosis7.113680799
Mean1675.956219
Median Absolute Deviation (MAD)600
Skewness1.915411847
Sum20250579
Variance1441967.075
MonotonicityNot monotonic
2022-07-26T03:01:49.801751image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0446
 
3.7%
120050
 
0.4%
84041
 
0.3%
180039
 
0.3%
144039
 
0.3%
90035
 
0.3%
128034
 
0.3%
134431
 
0.3%
96031
 
0.3%
140031
 
0.3%
Other values (3457)11306
93.6%
ValueCountFrequency (%)
0446
3.7%
681
 
< 0.1%
731
 
< 0.1%
991
 
< 0.1%
1004
 
< 0.1%
ValueCountFrequency (%)
137761
< 0.1%
131521
< 0.1%
114701
< 0.1%
112481
< 0.1%
108401
< 0.1%

TOTUSQFT
Real number (ℝ≥0)

ZEROS

Distinct1900
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean496.413308
Minimum0
Maximum7589
Zeros4723
Zeros (%)39.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:49.849887image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median400
Q3652
95-th percentile1841.6
Maximum7589
Range7589
Interquartile range (IQR)652

Descriptive statistics

Standard deviation677.4024616
Coefficient of variation (CV)1.364593678
Kurtosis10.27549126
Mean496.413308
Median Absolute Deviation (MAD)400
Skewness2.524278229
Sum5998162
Variance458874.095
MonotonicityNot monotonic
2022-07-26T03:01:49.893795image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
04723
39.1%
4002041
16.9%
250587
 
4.9%
650308
 
2.5%
90023
 
0.2%
72020
 
0.2%
120018
 
0.1%
75016
 
0.1%
86415
 
0.1%
100015
 
0.1%
Other values (1890)4317
35.7%
ValueCountFrequency (%)
04723
39.1%
61
 
< 0.1%
132
 
< 0.1%
152
 
< 0.1%
221
 
< 0.1%
ValueCountFrequency (%)
75891
< 0.1%
75681
< 0.1%
68161
< 0.1%
67721
< 0.1%
60681
< 0.1%

TOTCSQFT
Real number (ℝ≥0)

ZEROS

Distinct3228
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1254.239262
Minimum0
Maximum13776
Zeros2143
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:49.940041image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1264
median1025
Q31830
95-th percentile3565.9
Maximum13776
Range13776
Interquartile range (IQR)1566

Descriptive statistics

Standard deviation1227.949667
Coefficient of variation (CV)0.9790394097
Kurtosis6.357080666
Mean1254.239262
Median Absolute Deviation (MAD)777
Skewness1.801303178
Sum15154973
Variance1507860.383
MonotonicityNot monotonic
2022-07-26T03:01:49.983634image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02143
 
17.7%
120036
 
0.3%
128032
 
0.3%
90029
 
0.2%
144028
 
0.2%
60026
 
0.2%
96024
 
0.2%
115224
 
0.2%
84024
 
0.2%
168023
 
0.2%
Other values (3218)9694
80.2%
ValueCountFrequency (%)
02143
17.7%
601
 
< 0.1%
681
 
< 0.1%
701
 
< 0.1%
751
 
< 0.1%
ValueCountFrequency (%)
137761
< 0.1%
131521
< 0.1%
108401
< 0.1%
106941
< 0.1%
106621
< 0.1%

TOTUCSQFT
Real number (ℝ≥0)

ZEROS

Distinct2720
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean918.1305967
Minimum0
Maximum10783
Zeros2889
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:50.031586image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1204
median533
Q31358.5
95-th percentile2981.7
Maximum10783
Range10783
Interquartile range (IQR)1154.5

Descriptive statistics

Standard deviation1064.550849
Coefficient of variation (CV)1.159476498
Kurtosis7.339882208
Mean918.1305967
Median Absolute Deviation (MAD)533
Skewness2.125271527
Sum11093772
Variance1133268.511
MonotonicityNot monotonic
2022-07-26T03:01:50.077585image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02889
23.9%
4001688
 
14.0%
250423
 
3.5%
650255
 
2.1%
75025
 
0.2%
90021
 
0.2%
120020
 
0.2%
78420
 
0.2%
84018
 
0.1%
96018
 
0.1%
Other values (2710)6706
55.5%
ValueCountFrequency (%)
02889
23.9%
151
 
< 0.1%
221
 
< 0.1%
261
 
< 0.1%
491
 
< 0.1%
ValueCountFrequency (%)
107831
< 0.1%
104351
< 0.1%
101481
< 0.1%
96111
< 0.1%
93961
< 0.1%

KWH
Real number (ℝ≥0)

Distinct9282
Distinct (%)76.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11288.1594
Minimum17
Maximum150254
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:50.123516image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile2690.1
Q15837
median9623
Q314765
95-th percentile25468.1
Maximum150254
Range150237
Interquartile range (IQR)8928

Descriptive statistics

Standard deviation7641.190845
Coefficient of variation (CV)0.6769208846
Kurtosis13.91712265
Mean11288.1594
Median Absolute Deviation (MAD)4231
Skewness2.114187779
Sum136394830
Variance58387797.53
MonotonicityNot monotonic
2022-07-26T03:01:50.167542image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81476
 
< 0.1%
37806
 
< 0.1%
83126
 
< 0.1%
43975
 
< 0.1%
124685
 
< 0.1%
33455
 
< 0.1%
80755
 
< 0.1%
95565
 
< 0.1%
98685
 
< 0.1%
50135
 
< 0.1%
Other values (9272)12030
99.6%
ValueCountFrequency (%)
171
< 0.1%
501
< 0.1%
671
< 0.1%
941
< 0.1%
981
< 0.1%
ValueCountFrequency (%)
1502541
< 0.1%
776221
< 0.1%
728651
< 0.1%
727251
< 0.1%
690071
< 0.1%

KWHSPH
Real number (ℝ≥0)

ZEROS

Distinct6103
Distinct (%)50.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean999.0184077
Minimum0
Maximum13843.34
Zeros5929
Zeros (%)49.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:50.299603image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median211.84
Q31459.25
95-th percentile4258.716
Maximum13843.34
Range13843.34
Interquartile range (IQR)1459.25

Descriptive statistics

Standard deviation1580.02764
Coefficient of variation (CV)1.581580107
Kurtosis6.969120834
Mean999.0184077
Median Absolute Deviation (MAD)211.84
Skewness2.29753057
Sum12071139.42
Variance2496487.342
MonotonicityNot monotonic
2022-07-26T03:01:50.342941image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05929
49.1%
807.552
 
< 0.1%
383.912
 
< 0.1%
405.442
 
< 0.1%
1056.132
 
< 0.1%
778.642
 
< 0.1%
370.382
 
< 0.1%
1656.42
 
< 0.1%
556.522
 
< 0.1%
2340.632
 
< 0.1%
Other values (6093)6136
50.8%
ValueCountFrequency (%)
05929
49.1%
1.191
 
< 0.1%
3.771
 
< 0.1%
4.21
 
< 0.1%
28.271
 
< 0.1%
ValueCountFrequency (%)
13843.341
< 0.1%
13534.611
< 0.1%
13096.261
< 0.1%
12940.561
< 0.1%
12613.351
< 0.1%

KWHCOL
Real number (ℝ≥0)

ZEROS

Distinct9784
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1685.269578
Minimum0
Maximum60995.43
Zeros2143
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:50.393184image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1142.11
median751.13
Q32290.78
95-th percentile6301.021
Maximum60995.43
Range60995.43
Interquartile range (IQR)2148.67

Descriptive statistics

Standard deviation2479.141897
Coefficient of variation (CV)1.471065478
Kurtosis40.38992232
Mean1685.269578
Median Absolute Deviation (MAD)751.13
Skewness3.948017253
Sum20363112.31
Variance6146144.545
MonotonicityNot monotonic
2022-07-26T03:01:50.437386image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02143
 
17.7%
118.453
 
< 0.1%
7203
 
< 0.1%
1135.212
 
< 0.1%
156.62
 
< 0.1%
274.442
 
< 0.1%
170.762
 
< 0.1%
1269.372
 
< 0.1%
1177.772
 
< 0.1%
1293.712
 
< 0.1%
Other values (9774)9920
82.1%
ValueCountFrequency (%)
02143
17.7%
0.741
 
< 0.1%
2.741
 
< 0.1%
2.851
 
< 0.1%
2.871
 
< 0.1%
ValueCountFrequency (%)
60995.431
< 0.1%
28051.71
< 0.1%
27985.021
< 0.1%
27049.311
< 0.1%
26371.191
< 0.1%

KWHWTH
Real number (ℝ≥0)

ZEROS

Distinct4781
Distinct (%)39.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1061.183713
Minimum0
Maximum18916.32
Zeros7270
Zeros (%)60.2%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:50.484269image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31999.725
95-th percentile4149.012
Maximum18916.32
Range18916.32
Interquartile range (IQR)1999.725

Descriptive statistics

Standard deviation1602.461667
Coefficient of variation (CV)1.510069978
Kurtosis4.873726198
Mean1061.183713
Median Absolute Deviation (MAD)0
Skewness1.812081154
Sum12822282.81
Variance2567883.395
MonotonicityNot monotonic
2022-07-26T03:01:50.529053image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
07270
60.2%
2560.022
 
< 0.1%
1336.352
 
< 0.1%
1147.212
 
< 0.1%
2365.162
 
< 0.1%
2258.332
 
< 0.1%
2525.622
 
< 0.1%
2910.472
 
< 0.1%
2234.372
 
< 0.1%
5563.032
 
< 0.1%
Other values (4771)4795
39.7%
ValueCountFrequency (%)
07270
60.2%
1.991
 
< 0.1%
91
 
< 0.1%
27.041
 
< 0.1%
118.981
 
< 0.1%
ValueCountFrequency (%)
18916.321
< 0.1%
13316.951
< 0.1%
12861.541
< 0.1%
12539.871
< 0.1%
12000.041
< 0.1%

KWHRFG
Real number (ℝ≥0)

Distinct11711
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1243.170528
Minimum0
Maximum11069.03
Zeros19
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:50.577581image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile394.635
Q1722.945
median1046.2
Q31561.66
95-th percentile2720.114
Maximum11069.03
Range11069.03
Interquartile range (IQR)838.715

Descriptive statistics

Standard deviation778.5478734
Coefficient of variation (CV)0.6262599184
Kurtosis8.75198653
Mean1243.170528
Median Absolute Deviation (MAD)388.28
Skewness2.04942936
Sum15021229.49
Variance606136.7912
MonotonicityNot monotonic
2022-07-26T03:01:50.622480image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019
 
0.2%
1693.893
 
< 0.1%
831.133
 
< 0.1%
659.133
 
< 0.1%
583.152
 
< 0.1%
840.832
 
< 0.1%
1178.712
 
< 0.1%
1467.862
 
< 0.1%
1041.622
 
< 0.1%
1184.582
 
< 0.1%
Other values (11701)12043
99.7%
ValueCountFrequency (%)
019
0.2%
0.911
 
< 0.1%
5.131
 
< 0.1%
71
 
< 0.1%
7.81
 
< 0.1%
ValueCountFrequency (%)
11069.031
< 0.1%
9256.381
< 0.1%
9075.481
< 0.1%
7720.741
< 0.1%
7302.131
< 0.1%

KWHOTH
Real number (ℝ≥0)

Distinct12025
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6299.519119
Minimum9.59
Maximum65056.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:50.669042image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum9.59
5-th percentile1331.867
Q13208.615
median5429.25
Q38317.445
95-th percentile14018.613
Maximum65056.75
Range65047.16
Interquartile range (IQR)5108.83

Descriptive statistics

Standard deviation4310.587198
Coefficient of variation (CV)0.684272421
Kurtosis10.06037631
Mean6299.519119
Median Absolute Deviation (MAD)2494.63
Skewness1.977487148
Sum76117089.51
Variance18581161.99
MonotonicityNot monotonic
2022-07-26T03:01:50.713827image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2134.763
 
< 0.1%
2740.73
 
< 0.1%
14255.622
 
< 0.1%
6449.212
 
< 0.1%
9510.842
 
< 0.1%
567.022
 
< 0.1%
4006.522
 
< 0.1%
1498.522
 
< 0.1%
4985.842
 
< 0.1%
2830.92
 
< 0.1%
Other values (12015)12061
99.8%
ValueCountFrequency (%)
9.591
< 0.1%
29.21
< 0.1%
29.451
< 0.1%
52.421
< 0.1%
87.351
< 0.1%
ValueCountFrequency (%)
65056.751
< 0.1%
53492.541
< 0.1%
53342.851
< 0.1%
45645.921
< 0.1%
45267.171
< 0.1%

BTUEL
Real number (ℝ≥0)

Distinct9340
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38515.20086
Minimum58
Maximum512667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:50.760158image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum58
5-th percentile9178.4
Q119915.5
median32834
Q350378.5
95-th percentile86897.5
Maximum512667
Range512609
Interquartile range (IQR)30463

Descriptive statistics

Standard deviation26071.739
Coefficient of variation (CV)0.676920759
Kurtosis13.91715632
Mean38515.20086
Median Absolute Deviation (MAD)14436
Skewness2.11418953
Sum465379172
Variance679735574.4
MonotonicityNot monotonic
2022-07-26T03:01:50.806383image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
283616
 
< 0.1%
128976
 
< 0.1%
329335
 
< 0.1%
277985
 
< 0.1%
186775
 
< 0.1%
275525
 
< 0.1%
358505
 
< 0.1%
193265
 
< 0.1%
293535
 
< 0.1%
425415
 
< 0.1%
Other values (9330)12031
99.6%
ValueCountFrequency (%)
581
< 0.1%
1711
< 0.1%
2291
< 0.1%
3211
< 0.1%
3341
< 0.1%
ValueCountFrequency (%)
5126671
< 0.1%
2648461
< 0.1%
2486151
< 0.1%
2481381
< 0.1%
2354521
< 0.1%

BTUELSPH
Real number (ℝ≥0)

ZEROS

Distinct6143
Distinct (%)50.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3408.650345
Minimum0
Maximum47233.42
Zeros5929
Zeros (%)49.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:50.851340image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median722.8
Q34978.9
95-th percentile14530.805
Maximum47233.42
Range47233.42
Interquartile range (IQR)4978.9

Descriptive statistics

Standard deviation5391.054047
Coefficient of variation (CV)1.581580245
Kurtosis6.969121167
Mean3408.650345
Median Absolute Deviation (MAD)722.8
Skewness2.297530586
Sum41186722.12
Variance29063463.74
MonotonicityNot monotonic
2022-07-26T03:01:50.898218image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05929
49.1%
544.132
 
< 0.1%
9497.22
 
< 0.1%
4062.462
 
< 0.1%
4072.322
 
< 0.1%
7177.852
 
< 0.1%
13253.392
 
< 0.1%
3097.992
 
< 0.1%
1833.652
 
< 0.1%
2755.352
 
< 0.1%
Other values (6133)6136
50.8%
ValueCountFrequency (%)
05929
49.1%
4.051
 
< 0.1%
12.861
 
< 0.1%
14.331
 
< 0.1%
96.451
 
< 0.1%
ValueCountFrequency (%)
47233.421
< 0.1%
46180.231
< 0.1%
44684.431
< 0.1%
44153.291
< 0.1%
43036.81
< 0.1%

BTUELCOL
Real number (ℝ≥0)

ZEROS

Distinct9901
Distinct (%)81.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5750.138342
Minimum0
Maximum208116.55
Zeros2143
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:50.944215image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1484.88
median2562.87
Q37816.165
95-th percentile21498.979
Maximum208116.55
Range208116.55
Interquartile range (IQR)7331.285

Descriptive statistics

Standard deviation8458.831009
Coefficient of variation (CV)1.471065652
Kurtosis40.3900129
Mean5750.138342
Median Absolute Deviation (MAD)2562.87
Skewness3.948019738
Sum69478921.59
Variance71551822.04
MonotonicityNot monotonic
2022-07-26T03:01:50.988383image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02143
 
17.7%
1538.762
 
< 0.1%
110.432
 
< 0.1%
727.092
 
< 0.1%
1296.332
 
< 0.1%
462.982
 
< 0.1%
204.262
 
< 0.1%
1253.382
 
< 0.1%
6538.762
 
< 0.1%
350.262
 
< 0.1%
Other values (9891)9922
82.1%
ValueCountFrequency (%)
02143
17.7%
2.531
 
< 0.1%
9.341
 
< 0.1%
9.721
 
< 0.1%
9.81
 
< 0.1%
ValueCountFrequency (%)
208116.551
< 0.1%
95712.261
< 0.1%
95484.871
< 0.1%
92292.221
< 0.1%
89978.531
< 0.1%

BTUELWTH
Real number (ℝ≥0)

ZEROS

Distinct4802
Distinct (%)39.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3620.758826
Minimum0
Maximum64542.43
Zeros7270
Zeros (%)60.2%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:51.034015image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36823.035
95-th percentile14156.368
Maximum64542.43
Range64542.43
Interquartile range (IQR)6823.035

Descriptive statistics

Standard deviation5467.599359
Coefficient of variation (CV)1.510070022
Kurtosis4.873725751
Mean3620.758826
Median Absolute Deviation (MAD)0
Skewness1.812081168
Sum43749628.9
Variance29894642.75
MonotonicityNot monotonic
2022-07-26T03:01:51.163981image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
07270
60.2%
6606.882
 
< 0.1%
10900.492
 
< 0.1%
8683.012
 
< 0.1%
5194.042
 
< 0.1%
14633.622
 
< 0.1%
4739.292
 
< 0.1%
7263.492
 
< 0.1%
6154.962
 
< 0.1%
7006.082
 
< 0.1%
Other values (4792)4795
39.7%
ValueCountFrequency (%)
07270
60.2%
6.81
 
< 0.1%
30.721
 
< 0.1%
92.331
 
< 0.1%
405.911
 
< 0.1%
ValueCountFrequency (%)
64542.431
< 0.1%
45437.381
< 0.1%
43883.681
< 0.1%
42786.081
< 0.1%
40944.271
< 0.1%

BTUELRFG
Real number (ℝ≥0)

Distinct11956
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4241.696944
Minimum0
Maximum37767.55
Zeros19
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:51.210992image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1346.536
Q12466.665
median3569.72
Q35328.385
95-th percentile9280.977
Maximum37767.55
Range37767.55
Interquartile range (IQR)2861.72

Descriptive statistics

Standard deviation2656.405155
Coefficient of variation (CV)0.6262600064
Kurtosis8.752012789
Mean4241.696944
Median Absolute Deviation (MAD)1324.84
Skewness2.049432204
Sum51252424.18
Variance7056488.35
MonotonicityNot monotonic
2022-07-26T03:01:51.256260image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019
 
0.2%
2827.362
 
< 0.1%
3255.172
 
< 0.1%
3968.562
 
< 0.1%
3449.912
 
< 0.1%
2804.832
 
< 0.1%
3376.962
 
< 0.1%
1993.372
 
< 0.1%
5319.122
 
< 0.1%
2741.272
 
< 0.1%
Other values (11946)12046
99.7%
ValueCountFrequency (%)
019
0.2%
3.091
 
< 0.1%
17.531
 
< 0.1%
23.91
 
< 0.1%
26.61
 
< 0.1%
ValueCountFrequency (%)
37767.551
< 0.1%
31582.771
< 0.1%
30965.481
< 0.1%
26343.241
< 0.1%
24915.011
< 0.1%

BTUELOTH
Real number (ℝ≥0)

Distinct12062
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21493.95789
Minimum32.72
Maximum221973.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:51.305213image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum32.72
5-th percentile4544.188
Q110947.8
median18524.72
Q328378.855
95-th percentile47831.414
Maximum221973.78
Range221941.06
Interquartile range (IQR)17431.055

Descriptive statistics

Standard deviation14707.72077
Coefficient of variation (CV)0.6842723358
Kurtosis10.06038911
Mean21493.95789
Median Absolute Deviation (MAD)8512
Skewness1.977488277
Sum259711493.2
Variance216317050.4
MonotonicityNot monotonic
2022-07-26T03:01:51.349391image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11229.512
 
< 0.1%
33425.52
 
< 0.1%
23516.382
 
< 0.1%
13304.82
 
< 0.1%
9064.762
 
< 0.1%
20857.82
 
< 0.1%
16357.322
 
< 0.1%
10118.552
 
< 0.1%
14353.632
 
< 0.1%
15800.442
 
< 0.1%
Other values (12052)12063
99.8%
ValueCountFrequency (%)
32.721
< 0.1%
99.71
< 0.1%
100.551
< 0.1%
179.151
< 0.1%
297.691
< 0.1%
ValueCountFrequency (%)
221973.781
< 0.1%
182516.761
< 0.1%
182005.621
< 0.1%
155743.641
< 0.1%
154451.341
< 0.1%

DOLLAREL
Real number (ℝ≥0)

Distinct3118
Distinct (%)25.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1351.783911
Minimum0
Maximum19040
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:51.394941image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile364
Q1739
median1151
Q31732
95-th percentile2977.8
Maximum19040
Range19040
Interquartile range (IQR)993

Descriptive statistics

Standard deviation905.0312567
Coefficient of variation (CV)0.669508824
Kurtosis23.86470719
Mean1351.783911
Median Absolute Deviation (MAD)474
Skewness2.772922432
Sum16333605
Variance819081.5756
MonotonicityNot monotonic
2022-07-26T03:01:51.439070image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77318
 
0.1%
67916
 
0.1%
45115
 
0.1%
99015
 
0.1%
124015
 
0.1%
96514
 
0.1%
61914
 
0.1%
63014
 
0.1%
96814
 
0.1%
89614
 
0.1%
Other values (3108)11934
98.8%
ValueCountFrequency (%)
02
< 0.1%
62
< 0.1%
501
< 0.1%
541
< 0.1%
571
< 0.1%
ValueCountFrequency (%)
190401
< 0.1%
145801
< 0.1%
114091
< 0.1%
107401
< 0.1%
105561
< 0.1%

DOLELSPH
Real number (ℝ≥0)

ZEROS

Distinct5729
Distinct (%)47.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.3898138
Minimum0
Maximum1497.12
Zeros5929
Zeros (%)49.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:51.486225image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median25.55
Q3176.045
95-th percentile432.732
Maximum1497.12
Range1497.12
Interquartile range (IQR)176.045

Descriptive statistics

Standard deviation161.7755837
Coefficient of variation (CV)1.492534935
Kurtosis5.572537584
Mean108.3898138
Median Absolute Deviation (MAD)25.55
Skewness2.041945638
Sum1309674.12
Variance26171.33949
MonotonicityNot monotonic
2022-07-26T03:01:51.530731image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05929
49.1%
109.194
 
< 0.1%
50.923
 
< 0.1%
211.293
 
< 0.1%
55.313
 
< 0.1%
81.733
 
< 0.1%
131.083
 
< 0.1%
51.553
 
< 0.1%
115.983
 
< 0.1%
51.73
 
< 0.1%
Other values (5719)6126
50.7%
ValueCountFrequency (%)
05929
49.1%
1.291
 
< 0.1%
1.331
 
< 0.1%
4.021
 
< 0.1%
4.821
 
< 0.1%
ValueCountFrequency (%)
1497.121
< 0.1%
1488.681
< 0.1%
1350.961
< 0.1%
1342.391
< 0.1%
1225.411
< 0.1%

DOLELCOL
Real number (ℝ≥0)

ZEROS

Distinct8820
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202.5383646
Minimum0
Maximum7729.27
Zeros2144
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:51.578829image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q118.325
median89.76
Q3263.285
95-th percentile762.245
Maximum7729.27
Range7729.27
Interquartile range (IQR)244.96

Descriptive statistics

Standard deviation309.9866626
Coefficient of variation (CV)1.530508371
Kurtosis46.61698656
Mean202.5383646
Median Absolute Deviation (MAD)89.76
Skewness4.389236205
Sum2447271.06
Variance96091.73096
MonotonicityNot monotonic
2022-07-26T03:01:51.625390image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02144
 
17.7%
16.624
 
< 0.1%
55.14
 
< 0.1%
37.334
 
< 0.1%
16.534
 
< 0.1%
53.674
 
< 0.1%
25.584
 
< 0.1%
11.994
 
< 0.1%
45.364
 
< 0.1%
211.843
 
< 0.1%
Other values (8810)9904
82.0%
ValueCountFrequency (%)
02144
17.7%
0.261
 
< 0.1%
0.291
 
< 0.1%
0.381
 
< 0.1%
0.61
 
< 0.1%
ValueCountFrequency (%)
7729.271
< 0.1%
3733.431
< 0.1%
3639.71
< 0.1%
3551.81
< 0.1%
3512.131
< 0.1%

DOLELWTH
Real number (ℝ≥0)

ZEROS

Distinct4591
Distinct (%)38.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.6129198
Minimum0
Maximum2155.26
Zeros7271
Zeros (%)60.2%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:51.674744image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3225.525
95-th percentile466.75
Maximum2155.26
Range2155.26
Interquartile range (IQR)225.525

Descriptive statistics

Standard deviation180.6291813
Coefficient of variation (CV)1.510114305
Kurtosis6.730339752
Mean119.6129198
Median Absolute Deviation (MAD)0
Skewness1.935684017
Sum1445282.91
Variance32626.90114
MonotonicityNot monotonic
2022-07-26T03:01:51.718753image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
07271
60.2%
196.033
 
< 0.1%
205.563
 
< 0.1%
187.173
 
< 0.1%
186.943
 
< 0.1%
180.563
 
< 0.1%
322.133
 
< 0.1%
136.792
 
< 0.1%
221.052
 
< 0.1%
301.742
 
< 0.1%
Other values (4581)4788
39.6%
ValueCountFrequency (%)
07271
60.2%
0.71
 
< 0.1%
9.781
 
< 0.1%
9.91
 
< 0.1%
12.941
 
< 0.1%
ValueCountFrequency (%)
2155.261
< 0.1%
1997.911
< 0.1%
1875.461
< 0.1%
1840.761
< 0.1%
1756.261
< 0.1%

DOLELRFG
Real number (ℝ≥0)

Distinct9641
Distinct (%)79.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.1425474
Minimum0
Maximum2490.05
Zeros21
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:51.763449image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile47.997
Q186.34
median126.99
Q3192.44
95-th percentile347.283
Maximum2490.05
Range2490.05
Interquartile range (IQR)106.1

Descriptive statistics

Standard deviation106.2795157
Coefficient of variation (CV)0.6894885127
Kurtosis31.87693698
Mean154.1425474
Median Absolute Deviation (MAD)47.83
Skewness3.305933327
Sum1862504.4
Variance11295.33547
MonotonicityNot monotonic
2022-07-26T03:01:51.810085image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
021
 
0.2%
86.345
 
< 0.1%
100.95
 
< 0.1%
1165
 
< 0.1%
80.095
 
< 0.1%
84.165
 
< 0.1%
85.155
 
< 0.1%
92.324
 
< 0.1%
81.684
 
< 0.1%
80.544
 
< 0.1%
Other values (9631)12020
99.5%
ValueCountFrequency (%)
021
0.2%
0.321
 
< 0.1%
1.61
 
< 0.1%
3.481
 
< 0.1%
4.321
 
< 0.1%
ValueCountFrequency (%)
2490.051
< 0.1%
1402.651
< 0.1%
1374.91
< 0.1%
1358.981
< 0.1%
1331.911
< 0.1%

DOLELOTH
Real number (ℝ≥0)

Distinct11592
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean767.1027088
Minimum0
Maximum9213.06
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:51.856208image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile173.053
Q1396.225
median649.25
Q3990.62
95-th percentile1731.798
Maximum9213.06
Range9213.06
Interquartile range (IQR)594.395

Descriptive statistics

Standard deviation551.7795416
Coefficient of variation (CV)0.7193033414
Kurtosis20.60593728
Mean767.1027088
Median Absolute Deviation (MAD)284
Skewness2.808544407
Sum9268902.03
Variance304460.6625
MonotonicityNot monotonic
2022-07-26T03:01:51.899710image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
394.723
 
< 0.1%
612.453
 
< 0.1%
446.143
 
< 0.1%
386.963
 
< 0.1%
783.563
 
< 0.1%
193.953
 
< 0.1%
848.73
 
< 0.1%
1067.063
 
< 0.1%
543.182
 
< 0.1%
274.942
 
< 0.1%
Other values (11582)12055
99.8%
ValueCountFrequency (%)
02
< 0.1%
3.391
< 0.1%
4.41
< 0.1%
13.381
< 0.1%
15.951
< 0.1%
ValueCountFrequency (%)
9213.061
< 0.1%
9015.531
< 0.1%
8243.911
< 0.1%
6929.741
< 0.1%
6728.021
< 0.1%

CUFEETNG
Real number (ℝ≥0)

ZEROS

Distinct1670
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean405.3087809
Minimum0
Maximum4501
Zeros4589
Zeros (%)38.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:52.030509image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median279
Q3683
95-th percentile1284.9
Maximum4501
Range4501
Interquartile range (IQR)683

Descriptive statistics

Standard deviation476.2262553
Coefficient of variation (CV)1.174971473
Kurtosis4.178462442
Mean405.3087809
Median Absolute Deviation (MAD)279
Skewness1.557011455
Sum4897346
Variance226791.4462
MonotonicityNot monotonic
2022-07-26T03:01:52.073708image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
04589
38.0%
2589
 
0.7%
6147
 
0.4%
3535
 
0.3%
4931
 
0.3%
21324
 
0.2%
11924
 
0.2%
6022
 
0.2%
8620
 
0.2%
13519
 
0.2%
Other values (1660)7183
59.4%
ValueCountFrequency (%)
04589
38.0%
33
 
< 0.1%
41
 
< 0.1%
63
 
< 0.1%
72
 
< 0.1%
ValueCountFrequency (%)
45011
< 0.1%
42751
< 0.1%
42371
< 0.1%
41731
< 0.1%
37671
< 0.1%

CUFEETNGSPH
Real number (ℝ≥0)

ZEROS

Distinct5831
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean249.0917645
Minimum0
Maximum3296.04
Zeros5995
Zeros (%)49.6%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:52.118162image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median41.31
Q3449.865
95-th percentile885.551
Maximum3296.04
Range3296.04
Interquartile range (IQR)449.865

Descriptive statistics

Standard deviation333.4328175
Coefficient of variation (CV)1.338594306
Kurtosis3.996736186
Mean249.0917645
Median Absolute Deviation (MAD)41.31
Skewness1.648210576
Sum3009775.79
Variance111177.4438
MonotonicityNot monotonic
2022-07-26T03:01:52.161929image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05995
49.6%
3854
 
< 0.1%
2704
 
< 0.1%
2033
 
< 0.1%
9373
 
< 0.1%
4233
 
< 0.1%
3323
 
< 0.1%
774.863
 
< 0.1%
8653
 
< 0.1%
144.863
 
< 0.1%
Other values (5821)6059
50.1%
ValueCountFrequency (%)
05995
49.6%
1.321
 
< 0.1%
2.221
 
< 0.1%
5.021
 
< 0.1%
5.181
 
< 0.1%
ValueCountFrequency (%)
3296.041
< 0.1%
3215.811
< 0.1%
2766.281
< 0.1%
2495.11
< 0.1%
2419.41
< 0.1%

CUFEETNGWTH
Real number (ℝ≥0)

ZEROS

Distinct5668
Distinct (%)46.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.0511231
Minimum0
Maximum2772
Zeros5695
Zeros (%)47.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:52.207965image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median57.1
Q3189.015
95-th percentile362.277
Maximum2772
Range2772
Interquartile range (IQR)189.015

Descriptive statistics

Standard deviation148.9663276
Coefficient of variation (CV)1.353610245
Kurtosis19.22145999
Mean110.0511231
Median Absolute Deviation (MAD)57.1
Skewness2.767436068
Sum1329747.72
Variance22190.96676
MonotonicityNot monotonic
2022-07-26T03:01:52.250365image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05695
47.1%
6146
 
0.4%
8618
 
0.1%
7614
 
0.1%
23713
 
0.1%
11911
 
0.1%
12111
 
0.1%
1059
 
0.1%
2229
 
0.1%
2038
 
0.1%
Other values (5658)6249
51.7%
ValueCountFrequency (%)
05695
47.1%
0.961
 
< 0.1%
1.651
 
< 0.1%
1.781
 
< 0.1%
2.231
 
< 0.1%
ValueCountFrequency (%)
27721
< 0.1%
17511
< 0.1%
16081
< 0.1%
15481
< 0.1%
1522.181
< 0.1%

CUFEETNGOTH
Real number (ℝ≥0)

ZEROS

Distinct4165
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.16655549
Minimum0
Maximum3767
Zeros7168
Zeros (%)59.3%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:52.296287image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q359.655
95-th percentile202.641
Maximum3767
Range3767
Interquartile range (IQR)59.655

Descriptive statistics

Standard deviation108.0607694
Coefficient of variation (CV)2.340672122
Kurtosis194.3945288
Mean46.16655549
Median Absolute Deviation (MAD)0
Skewness9.380283639
Sum557830.49
Variance11677.12988
MonotonicityNot monotonic
2022-07-26T03:01:52.340559image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
07168
59.3%
2590
 
0.7%
3534
 
0.3%
4930
 
0.2%
6019
 
0.2%
3216
 
0.1%
7015
 
0.1%
789
 
0.1%
628
 
0.1%
758
 
0.1%
Other values (4155)4686
38.8%
ValueCountFrequency (%)
07168
59.3%
0.721
 
< 0.1%
0.781
 
< 0.1%
0.821
 
< 0.1%
0.981
 
< 0.1%
ValueCountFrequency (%)
37671
< 0.1%
26251
< 0.1%
2330.681
< 0.1%
17421
< 0.1%
1576.551
< 0.1%

BTUNG
Real number (ℝ≥0)

ZEROS

Distinct1781
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41544.30481
Minimum0
Maximum461353
Zeros4589
Zeros (%)38.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:52.387138image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median28598
Q370008
95-th percentile131702.7
Maximum461353
Range461353
Interquartile range (IQR)70008

Descriptive statistics

Standard deviation48813.2661
Coefficient of variation (CV)1.1749689
Kurtosis4.178437621
Mean41544.30481
Median Absolute Deviation (MAD)28598
Skewness1.557006016
Sum501979835
Variance2382734948
MonotonicityNot monotonic
2022-07-26T03:01:52.431541image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
04589
38.0%
256389
 
0.7%
625347
 
0.4%
358835
 
0.3%
502331
 
0.3%
1219824
 
0.2%
2183324
 
0.2%
615021
 
0.2%
881520
 
0.2%
1383819
 
0.2%
Other values (1771)7184
59.5%
ValueCountFrequency (%)
04589
38.0%
3072
 
< 0.1%
3081
 
< 0.1%
4101
 
< 0.1%
6152
 
< 0.1%
ValueCountFrequency (%)
4613531
< 0.1%
4381881
< 0.1%
4342931
< 0.1%
4277331
< 0.1%
3861181
< 0.1%

BTUNGSPH
Real number (ℝ≥0)

ZEROS

Distinct6026
Distinct (%)49.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25531.96053
Minimum0
Maximum337843.93
Zeros5995
Zeros (%)49.6%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:52.476363image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4234.89
Q346111.21
95-th percentile90769.291
Maximum337843.93
Range337843.93
Interquartile range (IQR)46111.21

Descriptive statistics

Standard deviation34176.9138
Coefficient of variation (CV)1.338593398
Kurtosis3.996708122
Mean25531.96053
Median Absolute Deviation (MAD)4234.89
Skewness1.648206592
Sum308502679.1
Variance1168061437
MonotonicityNot monotonic
2022-07-26T03:01:52.521135image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05995
49.6%
394634
 
< 0.1%
276754
 
< 0.1%
433583
 
< 0.1%
960433
 
< 0.1%
463303
 
< 0.1%
693933
 
< 0.1%
278802
 
< 0.1%
554532
 
< 0.1%
858952
 
< 0.1%
Other values (6016)6062
50.2%
ValueCountFrequency (%)
05995
49.6%
135.211
 
< 0.1%
227.251
 
< 0.1%
514.091
 
< 0.1%
531.181
 
< 0.1%
ValueCountFrequency (%)
337843.931
< 0.1%
329620.351
< 0.1%
283543.811
< 0.1%
255747.321
< 0.1%
247987.981
< 0.1%

BTUNGWTH
Real number (ℝ≥0)

ZEROS

Distinct6178
Distinct (%)51.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11280.26453
Minimum0
Maximum284130
Zeros5695
Zeros (%)47.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:52.568237image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5852.82
Q319374.295
95-th percentile37133.66
Maximum284130
Range284130
Interquartile range (IQR)19374.295

Descriptive statistics

Standard deviation15269.06671
Coefficient of variation (CV)1.353608922
Kurtosis19.22141331
Mean11280.26453
Median Absolute Deviation (MAD)5852.82
Skewness2.767432963
Sum136299436.3
Variance233144398.1
MonotonicityNot monotonic
2022-07-26T03:01:52.610709image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05695
47.1%
625346
 
0.4%
881518
 
0.1%
2429312
 
0.1%
779012
 
0.1%
1219810
 
0.1%
227559
 
0.1%
107639
 
0.1%
208087
 
0.1%
124037
 
0.1%
Other values (6168)6258
51.8%
ValueCountFrequency (%)
05695
47.1%
98.851
 
< 0.1%
169.341
 
< 0.1%
182.621
 
< 0.1%
228.41
 
< 0.1%
ValueCountFrequency (%)
2841301
< 0.1%
1794781
< 0.1%
1648201
< 0.1%
1586701
< 0.1%
156023.371
< 0.1%

BTUNGOTH
Real number (ℝ≥0)

ZEROS

Distinct4619
Distinct (%)38.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4732.080358
Minimum0
Maximum386118
Zeros7168
Zeros (%)59.3%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:52.657536image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36114.66
95-th percentile20770.596
Maximum386118
Range386118
Interquartile range (IQR)6114.66

Descriptive statistics

Standard deviation11076.24306
Coefficient of variation (CV)2.340670958
Kurtosis194.3946112
Mean4732.080358
Median Absolute Deviation (MAD)0
Skewness9.380286939
Sum57177726.96
Variance122683160.4
MonotonicityNot monotonic
2022-07-26T03:01:52.703347image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
07168
59.3%
256389
 
0.7%
358833
 
0.3%
502330
 
0.2%
615018
 
0.1%
328016
 
0.1%
717514
 
0.1%
79958
 
0.1%
31788
 
0.1%
63558
 
0.1%
Other values (4609)4691
38.8%
ValueCountFrequency (%)
07168
59.3%
73.941
 
< 0.1%
80.251
 
< 0.1%
83.821
 
< 0.1%
100.911
 
< 0.1%
ValueCountFrequency (%)
3861181
< 0.1%
2690631
< 0.1%
238895.051
< 0.1%
1785551
< 0.1%
161596.441
< 0.1%

DOLLARNG
Real number (ℝ≥0)

ZEROS

Distinct1941
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean490.5986924
Minimum0
Maximum6355
Zeros4589
Zeros (%)38.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:52.751765image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median347
Q3804
95-th percentile1558
Maximum6355
Range6355
Interquartile range (IQR)804

Descriptive statistics

Standard deviation576.3576313
Coefficient of variation (CV)1.174804663
Kurtosis4.169831873
Mean490.5986924
Median Absolute Deviation (MAD)347
Skewness1.582348077
Sum5927904
Variance332188.1191
MonotonicityNot monotonic
2022-07-26T03:01:52.880703image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
04589
38.0%
9022
 
0.2%
5222
 
0.2%
7417
 
0.1%
5016
 
0.1%
3616
 
0.1%
53815
 
0.1%
76514
 
0.1%
53014
 
0.1%
20214
 
0.1%
Other values (1931)7344
60.8%
ValueCountFrequency (%)
04589
38.0%
141
 
< 0.1%
211
 
< 0.1%
223
 
< 0.1%
235
 
< 0.1%
ValueCountFrequency (%)
63551
< 0.1%
46171
< 0.1%
45601
< 0.1%
44661
< 0.1%
44001
< 0.1%

DOLNGSPH
Real number (ℝ≥0)

ZEROS

Distinct5888
Distinct (%)48.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean300.4262518
Minimum0
Maximum3591.15
Zeros5995
Zeros (%)49.6%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:52.926844image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median67.08
Q3533.895
95-th percentile1072.323
Maximum3591.15
Range3591.15
Interquartile range (IQR)533.895

Descriptive statistics

Standard deviation402.0582271
Coefficient of variation (CV)1.338292592
Kurtosis3.486730588
Mean300.4262518
Median Absolute Deviation (MAD)67.08
Skewness1.614196182
Sum3630050.4
Variance161650.818
MonotonicityNot monotonic
2022-07-26T03:01:52.972935image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05995
49.6%
6224
 
< 0.1%
7453
 
< 0.1%
8173
 
< 0.1%
569.213
 
< 0.1%
8473
 
< 0.1%
924.793
 
< 0.1%
5423
 
< 0.1%
327.343
 
< 0.1%
96.233
 
< 0.1%
Other values (5878)6060
50.2%
ValueCountFrequency (%)
05995
49.6%
25.91
 
< 0.1%
31.941
 
< 0.1%
32.721
 
< 0.1%
33.451
 
< 0.1%
ValueCountFrequency (%)
3591.151
< 0.1%
3382.481
< 0.1%
3270.411
< 0.1%
3141.591
< 0.1%
2855.511
< 0.1%

DOLNGWTH
Real number (ℝ≥0)

ZEROS

Distinct5839
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133.2546901
Minimum0
Maximum2355
Zeros5695
Zeros (%)47.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:53.020901image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median68.04
Q3221.4
95-th percentile454.728
Maximum2355
Range2355
Interquartile range (IQR)221.4

Descriptive statistics

Standard deviation180.0703757
Coefficient of variation (CV)1.351324862
Kurtosis12.75665456
Mean133.2546901
Median Absolute Deviation (MAD)68.04
Skewness2.455157017
Sum1610116.42
Variance32425.34019
MonotonicityNot monotonic
2022-07-26T03:01:53.067752image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05695
47.1%
5712
 
0.1%
9912
 
0.1%
1137
 
0.1%
817
 
0.1%
687
 
0.1%
907
 
0.1%
1225
 
< 0.1%
149.434
 
< 0.1%
844
 
< 0.1%
Other values (5829)6323
52.3%
ValueCountFrequency (%)
05695
47.1%
7.971
 
< 0.1%
8.781
 
< 0.1%
14.941
 
< 0.1%
16.651
 
< 0.1%
ValueCountFrequency (%)
23551
< 0.1%
22531
< 0.1%
2228.051
< 0.1%
18551
< 0.1%
18361
< 0.1%

DOLNGOTH
Real number (ℝ≥0)

ZEROS

Distinct4287
Distinct (%)35.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.91832409
Minimum0
Maximum2759
Zeros7168
Zeros (%)59.3%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:53.113601image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q373
95-th percentile250.9
Maximum2759
Range2759
Interquartile range (IQR)73

Descriptive statistics

Standard deviation129.2151165
Coefficient of variation (CV)2.27018484
Kurtosis86.19666843
Mean56.91832409
Median Absolute Deviation (MAD)0
Skewness6.914583355
Sum687744.11
Variance16696.54633
MonotonicityNot monotonic
2022-07-26T03:01:53.159569image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
07168
59.3%
5224
 
0.2%
3617
 
0.1%
5016
 
0.1%
7415
 
0.1%
2712
 
0.1%
9011
 
0.1%
1049
 
0.1%
357
 
0.1%
657
 
0.1%
Other values (4277)4797
39.7%
ValueCountFrequency (%)
07168
59.3%
41
 
< 0.1%
4.451
 
< 0.1%
4.491
 
< 0.1%
4.851
 
< 0.1%
ValueCountFrequency (%)
27591
< 0.1%
26921
< 0.1%
2521.271
< 0.1%
24821
< 0.1%
19521
< 0.1%

GALLONLP
Real number (ℝ≥0)

ZEROS

Distinct626
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.08400232
Minimum0
Maximum6388
Zeros11008
Zeros (%)91.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:53.212603image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile279
Maximum6388
Range6388
Interquartile range (IQR)0

Descriptive statistics

Standard deviation194.2700721
Coefficient of variation (CV)4.728606299
Kurtosis203.7929713
Mean41.08400232
Median Absolute Deviation (MAD)0
Skewness10.14559066
Sum496418
Variance37740.86093
MonotonicityNot monotonic
2022-07-26T03:01:53.257613image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011008
91.1%
16713
 
0.1%
5911
 
0.1%
6711
 
0.1%
9510
 
0.1%
479
 
0.1%
1428
 
0.1%
267
 
0.1%
487
 
0.1%
827
 
0.1%
Other values (616)992
 
8.2%
ValueCountFrequency (%)
011008
91.1%
31
 
< 0.1%
91
 
< 0.1%
111
 
< 0.1%
121
 
< 0.1%
ValueCountFrequency (%)
63881
< 0.1%
60081
< 0.1%
29311
< 0.1%
25801
< 0.1%
24841
< 0.1%

GALLONLPSPH
Real number (ℝ≥0)

ZEROS

Distinct579
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.24435736
Minimum0
Maximum6008
Zeros11370
Zeros (%)94.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:53.305580image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile171
Maximum6008
Range6008
Interquartile range (IQR)0

Descriptive statistics

Standard deviation153.5539415
Coefficient of variation (CV)5.436623659
Kurtosis274.0567323
Mean28.24435736
Median Absolute Deviation (MAD)0
Skewness11.66271741
Sum341276.57
Variance23578.81294
MonotonicityNot monotonic
2022-07-26T03:01:53.350487image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011370
94.1%
1987
 
0.1%
674
 
< 0.1%
1724
 
< 0.1%
2214
 
< 0.1%
2094
 
< 0.1%
1694
 
< 0.1%
1704
 
< 0.1%
4703
 
< 0.1%
1943
 
< 0.1%
Other values (569)676
 
5.6%
ValueCountFrequency (%)
011370
94.1%
51
 
< 0.1%
241
 
< 0.1%
28.121
 
< 0.1%
301
 
< 0.1%
ValueCountFrequency (%)
60081
< 0.1%
4131.351
< 0.1%
2471.961
< 0.1%
21731
< 0.1%
19291
< 0.1%

GALLONLPWTH
Real number (ℝ≥0)

ZEROS

Distinct325
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.803283125
Minimum0
Maximum1069
Zeros11677
Zeros (%)96.6%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:53.399563image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1069
Range1069
Interquartile range (IQR)0

Descriptive statistics

Standard deviation46.86381812
Coefficient of variation (CV)6.888412147
Kurtosis140.7302439
Mean6.803283125
Median Absolute Deviation (MAD)0
Skewness10.22074674
Sum82204.07
Variance2196.217449
MonotonicityNot monotonic
2022-07-26T03:01:53.447231image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011677
96.6%
787
 
0.1%
1355
 
< 0.1%
545
 
< 0.1%
1755
 
< 0.1%
524
 
< 0.1%
264
 
< 0.1%
1104
 
< 0.1%
1803
 
< 0.1%
763
 
< 0.1%
Other values (315)366
 
3.0%
ValueCountFrequency (%)
011677
96.6%
3.051
 
< 0.1%
41
 
< 0.1%
4.071
 
< 0.1%
18.061
 
< 0.1%
ValueCountFrequency (%)
10691
< 0.1%
1053.361
< 0.1%
973.371
< 0.1%
9721
< 0.1%
9661
< 0.1%

GALLONLPOTH
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct350
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.036222792
Minimum0
Maximum2256.65
Zeros11490
Zeros (%)95.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:53.495407image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2256.65
Range2256.65
Interquartile range (IQR)0

Descriptive statistics

Standard deviation47.1032489
Coefficient of variation (CV)7.803431139
Kurtosis702.3303512
Mean6.036222792
Median Absolute Deviation (MAD)0
Skewness21.19604583
Sum72935.68
Variance2218.716057
MonotonicityNot monotonic
2022-07-26T03:01:53.540207image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011490
95.1%
4714
 
0.1%
16713
 
0.1%
5912
 
0.1%
8211
 
0.1%
9510
 
0.1%
678
 
0.1%
1428
 
0.1%
508
 
0.1%
487
 
0.1%
Other values (340)502
 
4.2%
ValueCountFrequency (%)
011490
95.1%
31
 
< 0.1%
3.881
 
< 0.1%
71
 
< 0.1%
7.031
 
< 0.1%
ValueCountFrequency (%)
2256.651
< 0.1%
15741
< 0.1%
14371
< 0.1%
11541
< 0.1%
8651
< 0.1%

BTULP
Real number (ℝ≥0)

ZEROS

Distinct843
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3752.336589
Minimum0
Maximum583416
Zeros11008
Zeros (%)91.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:53.586701image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile25474.1
Maximum583416
Range583416
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17742.89625
Coefficient of variation (CV)4.728492722
Kurtosis203.7834744
Mean3752.336589
Median Absolute Deviation (MAD)0
Skewness10.14531017
Sum45339483
Variance314810367.4
MonotonicityNot monotonic
2022-07-26T03:01:53.632268image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011008
91.1%
1526213
 
0.1%
432210
 
0.1%
611310
 
0.1%
54039
 
0.1%
86458
 
0.1%
74867
 
0.1%
71516
 
< 0.1%
32426
 
< 0.1%
45845
 
< 0.1%
Other values (833)1001
 
8.3%
ValueCountFrequency (%)
011008
91.1%
2741
 
< 0.1%
8221
 
< 0.1%
10812
 
< 0.1%
11872
 
< 0.1%
ValueCountFrequency (%)
5834161
< 0.1%
5487111
< 0.1%
2676881
< 0.1%
2356311
< 0.1%
2268631
< 0.1%

BTULPSPH
Real number (ℝ≥0)

ZEROS

Distinct683
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2579.654579
Minimum0
Maximum548710.67
Zeros11370
Zeros (%)94.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:53.767715image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile15632.9
Maximum548710.67
Range548710.67
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14024.2423
Coefficient of variation (CV)5.436480688
Kurtosis274.0404071
Mean2579.654579
Median Absolute Deviation (MAD)0
Skewness11.6623081
Sum31169966.28
Variance196679372.1
MonotonicityNot monotonic
2022-07-26T03:01:53.809825image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011370
94.1%
61194
 
< 0.1%
180493
 
< 0.1%
127623
 
< 0.1%
154822
 
< 0.1%
153612
 
< 0.1%
188832
 
< 0.1%
342492
 
< 0.1%
94072
 
< 0.1%
100462
 
< 0.1%
Other values (673)691
 
5.7%
ValueCountFrequency (%)
011370
94.1%
4761
 
< 0.1%
21921
 
< 0.1%
2564.851
 
< 0.1%
27401
 
< 0.1%
ValueCountFrequency (%)
548710.671
< 0.1%
377304.941
< 0.1%
225809.521
< 0.1%
198460.331
< 0.1%
1761761
< 0.1%

BTULPWTH
Real number (ℝ≥0)

ZEROS

Distinct382
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean621.3772358
Minimum0
Maximum97588
Zeros11677
Zeros (%)96.6%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:53.856216image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum97588
Range97588
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4279.994843
Coefficient of variation (CV)6.887917028
Kurtosis140.6420955
Mean621.3772358
Median Absolute Deviation (MAD)0
Skewness10.21822543
Sum7508101.14
Variance18318355.86
MonotonicityNot monotonic
2022-07-26T03:01:53.902283image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011677
96.6%
71516
 
< 0.1%
123874
 
< 0.1%
159914
 
< 0.1%
101143
 
< 0.1%
23842
 
< 0.1%
33517.672
 
< 0.1%
208132
 
< 0.1%
49392
 
< 0.1%
169942
 
< 0.1%
Other values (372)379
 
3.1%
ValueCountFrequency (%)
011677
96.6%
278.641
 
< 0.1%
3461
 
< 0.1%
361.841
 
< 0.1%
1673.451
 
< 0.1%
ValueCountFrequency (%)
975881
< 0.1%
96158.811
< 0.1%
88915.961
< 0.1%
887311
< 0.1%
882251
< 0.1%

BTULPOTH
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct491
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean551.3069196
Minimum0
Maximum206110.74
Zeros11490
Zeros (%)95.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:53.949026image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum206110.74
Range206110.74
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4302.141347
Coefficient of variation (CV)7.803532286
Kurtosis702.3226993
Mean551.3069196
Median Absolute Deviation (MAD)0
Skewness21.19614493
Sum6661441.51
Variance18508420.17
MonotonicityNot monotonic
2022-07-26T03:01:53.992777image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011490
95.1%
1526213
 
0.1%
432210
 
0.1%
611310
 
0.1%
54039
 
0.1%
86458
 
0.1%
74867
 
0.1%
32426
 
< 0.1%
129675
 
< 0.1%
108065
 
< 0.1%
Other values (481)520
 
4.3%
ValueCountFrequency (%)
011490
95.1%
2741
 
< 0.1%
357.821
 
< 0.1%
661.731
 
< 0.1%
6841
 
< 0.1%
ValueCountFrequency (%)
206110.741
< 0.1%
1437531
< 0.1%
1312411
< 0.1%
1053951
< 0.1%
79000.671
< 0.1%

DOLLARLP
Real number (ℝ≥0)

ZEROS

Distinct817
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.50475875
Minimum0
Maximum12972
Zeros11008
Zeros (%)91.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:54.037277image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile651.9
Maximum12972
Range12972
Interquartile range (IQR)0

Descriptive statistics

Standard deviation377.2702699
Coefficient of variation (CV)4.412272198
Kurtosis155.4246373
Mean85.50475875
Median Absolute Deviation (MAD)0
Skewness8.611847282
Sum1033154
Variance142332.8565
MonotonicityNot monotonic
2022-07-26T03:01:54.084263image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011008
91.1%
17910
 
0.1%
3936
 
< 0.1%
1035
 
< 0.1%
5274
 
< 0.1%
7564
 
< 0.1%
1854
 
< 0.1%
6784
 
< 0.1%
3854
 
< 0.1%
1824
 
< 0.1%
Other values (807)1030
 
8.5%
ValueCountFrequency (%)
011008
91.1%
131
 
< 0.1%
191
 
< 0.1%
271
 
< 0.1%
321
 
< 0.1%
ValueCountFrequency (%)
129721
< 0.1%
71561
< 0.1%
53781
< 0.1%
47791
< 0.1%
47591
< 0.1%

DOLLPSPH
Real number (ℝ≥0)

ZEROS

Distinct646
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.39901928
Minimum0
Maximum8389.69
Zeros11370
Zeros (%)94.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:54.131365image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile385
Maximum8389.69
Range8389.69
Interquartile range (IQR)0

Descriptive statistics

Standard deviation286.8922256
Coefficient of variation (CV)5.086830041
Kurtosis130.6254517
Mean56.39901928
Median Absolute Deviation (MAD)0
Skewness8.672835713
Sum681469.35
Variance82307.14909
MonotonicityNot monotonic
2022-07-26T03:01:54.174486image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011370
94.1%
1795
 
< 0.1%
4864
 
< 0.1%
3933
 
< 0.1%
4733
 
< 0.1%
4393
 
< 0.1%
7313
 
< 0.1%
5272
 
< 0.1%
4352
 
< 0.1%
3912
 
< 0.1%
Other values (636)686
 
5.7%
ValueCountFrequency (%)
011370
94.1%
81
 
< 0.1%
661
 
< 0.1%
741
 
< 0.1%
84.411
 
< 0.1%
ValueCountFrequency (%)
8389.691
< 0.1%
7155.811
< 0.1%
4045.541
< 0.1%
3961.131
< 0.1%
3736.451
< 0.1%

DOLLPWTH
Real number (ℝ≥0)

ZEROS

Distinct375
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.74931226
Minimum0
Maximum1946.38
Zeros11677
Zeros (%)96.6%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:54.219596image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1946.38
Range1946.38
Interquartile range (IQR)0

Descriptive statistics

Standard deviation99.87414885
Coefficient of variation (CV)6.771444466
Kurtosis117.9646276
Mean14.74931226
Median Absolute Deviation (MAD)0
Skewness9.586133309
Sum178215.94
Variance9974.845609
MonotonicityNot monotonic
2022-07-26T03:01:54.265473image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011677
96.6%
2624
 
< 0.1%
4004
 
< 0.1%
1793
 
< 0.1%
2872
 
< 0.1%
6412
 
< 0.1%
1252
 
< 0.1%
2102
 
< 0.1%
4132
 
< 0.1%
2372
 
< 0.1%
Other values (365)383
 
3.2%
ValueCountFrequency (%)
011677
96.6%
51
 
< 0.1%
5.091
 
< 0.1%
13.211
 
< 0.1%
34.111
 
< 0.1%
ValueCountFrequency (%)
1946.381
< 0.1%
1931.661
< 0.1%
18661
< 0.1%
18281
< 0.1%
18201
< 0.1%

DOLLPOTH
Real number (ℝ≥0)

ZEROS

Distinct462
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.3572871
Minimum0
Maximum4582.28
Zeros11490
Zeros (%)95.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:54.312942image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4582.28
Range4582.28
Interquartile range (IQR)0

Descriptive statistics

Standard deviation107.8646548
Coefficient of variation (CV)7.512885549
Kurtosis552.1615882
Mean14.3572871
Median Absolute Deviation (MAD)0
Skewness18.81978326
Sum173479.1
Variance11634.78375
MonotonicityNot monotonic
2022-07-26T03:01:54.357286image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011490
95.1%
1036
 
< 0.1%
1955
 
< 0.1%
605
 
< 0.1%
1065
 
< 0.1%
705
 
< 0.1%
1744
 
< 0.1%
1294
 
< 0.1%
1594
 
< 0.1%
3834
 
< 0.1%
Other values (452)551
 
4.6%
ValueCountFrequency (%)
011490
95.1%
13.221
 
< 0.1%
141
 
< 0.1%
14.551
 
< 0.1%
15.061
 
< 0.1%
ValueCountFrequency (%)
4582.281
< 0.1%
40551
< 0.1%
24141
< 0.1%
23451
< 0.1%
2216.441
< 0.1%

GALLONFO
Real number (ℝ≥0)

ZEROS

Distinct559
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.06380866
Minimum0
Maximum3078
Zeros11179
Zeros (%)92.5%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:54.402117image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile396
Maximum3078
Range3078
Interquartile range (IQR)0

Descriptive statistics

Standard deviation175.9445519
Coefficient of variation (CV)4.085670946
Kurtosis32.8109358
Mean43.06380866
Median Absolute Deviation (MAD)0
Skewness5.119255816
Sum520340
Variance30956.48533
MonotonicityNot monotonic
2022-07-26T03:01:54.445533image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011179
92.5%
2967
 
0.1%
3966
 
< 0.1%
2916
 
< 0.1%
4516
 
< 0.1%
785
 
< 0.1%
3865
 
< 0.1%
3385
 
< 0.1%
3405
 
< 0.1%
4915
 
< 0.1%
Other values (549)854
 
7.1%
ValueCountFrequency (%)
011179
92.5%
41
 
< 0.1%
171
 
< 0.1%
511
 
< 0.1%
531
 
< 0.1%
ValueCountFrequency (%)
30781
< 0.1%
18971
< 0.1%
18611
< 0.1%
18241
< 0.1%
17441
< 0.1%

GALLONFOSPH
Real number (ℝ≥0)

ZEROS

Distinct618
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.23351155
Minimum0
Maximum2407.22
Zeros11224
Zeros (%)92.9%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:54.490914image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile352.9
Maximum2407.22
Range2407.22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation153.5716871
Coefficient of variation (CV)4.124555561
Kurtosis31.85731417
Mean37.23351155
Median Absolute Deviation (MAD)0
Skewness5.112749998
Sum449892.52
Variance23584.26308
MonotonicityNot monotonic
2022-07-26T03:01:54.624854image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011224
92.9%
3407
 
0.1%
2966
 
< 0.1%
2996
 
< 0.1%
2916
 
< 0.1%
3866
 
< 0.1%
3385
 
< 0.1%
3254
 
< 0.1%
2264
 
< 0.1%
3544
 
< 0.1%
Other values (608)811
 
6.7%
ValueCountFrequency (%)
011224
92.9%
41
 
< 0.1%
171
 
< 0.1%
511
 
< 0.1%
591
 
< 0.1%
ValueCountFrequency (%)
2407.221
< 0.1%
18611
< 0.1%
1777.061
< 0.1%
15861
< 0.1%
15681
< 0.1%

GALLONFOWTH
Real number (ℝ≥0)

ZEROS

Distinct350
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.293509062
Minimum0
Maximum896.6
Zeros11619
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:54.670595image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum896.6
Range896.6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation33.73229071
Coefficient of variation (CV)6.372387449
Kurtosis172.3242701
Mean5.293509062
Median Absolute Deviation (MAD)0
Skewness10.76432844
Sum63961.47
Variance1137.867437
MonotonicityNot monotonic
2022-07-26T03:01:54.713863image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011619
96.2%
7016
 
0.1%
1029
 
0.1%
718
 
0.1%
727
 
0.1%
1006
 
< 0.1%
1436
 
< 0.1%
786
 
< 0.1%
675
 
< 0.1%
1175
 
< 0.1%
Other values (340)396
 
3.3%
ValueCountFrequency (%)
011619
96.2%
151
 
< 0.1%
181
 
< 0.1%
202
 
< 0.1%
211
 
< 0.1%
ValueCountFrequency (%)
896.61
< 0.1%
840.5211
< 0.1%
7951
< 0.1%
670.7821
< 0.1%
6611
< 0.1%

GALLONFOOTH
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5368830588
Minimum0
Maximum777
Zeros12062
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:54.753557image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum777
Range777
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.65480891
Coefficient of variation (CV)27.29609114
Kurtosis1348.796144
Mean0.5368830588
Median Absolute Deviation (MAD)0
Skewness34.0025653
Sum6487.158
Variance214.7634241
MonotonicityNot monotonic
2022-07-26T03:01:54.789495image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
012062
99.8%
228.7241
 
< 0.1%
4141
 
< 0.1%
3081
 
< 0.1%
598.3181
 
< 0.1%
2201
 
< 0.1%
1231
 
< 0.1%
1241
 
< 0.1%
6011
 
< 0.1%
274.6991
 
< 0.1%
Other values (12)12
 
0.1%
ValueCountFrequency (%)
012062
99.8%
1231
 
< 0.1%
1241
 
< 0.1%
1311
 
< 0.1%
1571
 
< 0.1%
ValueCountFrequency (%)
7771
< 0.1%
6011
< 0.1%
598.3181
< 0.1%
4251
< 0.1%
4141
< 0.1%

BTUFO
Real number (ℝ≥0)

ZEROS

Distinct760
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5972.3759
Minimum0
Maximum426888
Zeros11179
Zeros (%)92.5%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:54.833982image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile54943.6
Maximum426888
Range426888
Interquartile range (IQR)0

Descriptive statistics

Standard deviation24401.49219
Coefficient of variation (CV)4.085726116
Kurtosis32.81234486
Mean5972.3759
Median Absolute Deviation (MAD)0
Skewness5.119363135
Sum72164218
Variance595432821.1
MonotonicityNot monotonic
2022-07-26T03:01:54.877346image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011179
92.5%
107765
 
< 0.1%
1178874
 
< 0.1%
549214
 
< 0.1%
689294
 
< 0.1%
622724
 
< 0.1%
76204
 
< 0.1%
312054
 
< 0.1%
414684
 
< 0.1%
197964
 
< 0.1%
Other values (750)867
 
7.2%
ValueCountFrequency (%)
011179
92.5%
5541
 
< 0.1%
23581
 
< 0.1%
70741
 
< 0.1%
73831
 
< 0.1%
ValueCountFrequency (%)
4268881
< 0.1%
2630951
< 0.1%
2581021
< 0.1%
2529711
< 0.1%
2418751
< 0.1%

BTUFOSPH
Real number (ℝ≥0)

ZEROS

Distinct830
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5163.83995
Minimum0
Maximum333790.56
Zeros11224
Zeros (%)92.9%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:54.922078image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile48950.9
Maximum333790.56
Range333790.56
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21298.7235
Coefficient of variation (CV)4.124590171
Kurtosis31.85560699
Mean5163.83995
Median Absolute Deviation (MAD)0
Skewness5.112738916
Sum62394678.11
Variance453635622.8
MonotonicityNot monotonic
2022-07-26T03:01:54.966352image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011224
92.9%
312054
 
< 0.1%
359423
 
< 0.1%
600533
 
< 0.1%
313523
 
< 0.1%
41468.313
 
< 0.1%
316823
 
< 0.1%
62272.313
 
< 0.1%
346732
 
< 0.1%
403192
 
< 0.1%
Other values (820)833
 
6.9%
ValueCountFrequency (%)
011224
92.9%
554.41
 
< 0.1%
23581
 
< 0.1%
7073.71
 
< 0.1%
81831
 
< 0.1%
ValueCountFrequency (%)
333790.561
< 0.1%
258101.691
< 0.1%
246502.061
< 0.1%
2199621
< 0.1%
217465.691
< 0.1%

BTUFOWTH
Real number (ℝ≥0)

ZEROS

Distinct443
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean734.0824133
Minimum0
Maximum124285.13
Zeros11619
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:55.013228image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum124285.13
Range124285.13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4678.161413
Coefficient of variation (CV)6.372801376
Kurtosis172.3705382
Mean734.0824133
Median Absolute Deviation (MAD)0
Skewness10.76653454
Sum8869917.8
Variance21885194.21
MonotonicityNot monotonic
2022-07-26T03:01:55.060613image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011619
96.2%
107765
 
< 0.1%
76204
 
< 0.1%
197964
 
< 0.1%
161644
 
< 0.1%
99263
 
< 0.1%
228593
 
< 0.1%
96822
 
< 0.1%
152402
 
< 0.1%
96882
 
< 0.1%
Other values (433)435
 
3.6%
ValueCountFrequency (%)
011619
96.2%
21091
 
< 0.1%
25041
 
< 0.1%
28021
 
< 0.1%
28381
 
< 0.1%
ValueCountFrequency (%)
124285.131
< 0.1%
116630.261
< 0.1%
1102591
< 0.1%
93097.751
< 0.1%
916191
< 0.1%

BTUFOOTH
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.453927
Minimum0
Maximum107761.69
Zeros12062
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:55.102752image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum107761.69
Range107761.69
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2032.454321
Coefficient of variation (CV)27.29814804
Kurtosis1349.188797
Mean74.453927
Median Absolute Deviation (MAD)0
Skewness34.00743535
Sum899626.8
Variance4130870.568
MonotonicityNot monotonic
2022-07-26T03:01:55.138962image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
012062
99.8%
31762.731
 
< 0.1%
573591
 
< 0.1%
426761
 
< 0.1%
83032.321
 
< 0.1%
304441
 
< 0.1%
170631
 
< 0.1%
171341
 
< 0.1%
83352.691
 
< 0.1%
38129.191
 
< 0.1%
Other values (12)12
 
0.1%
ValueCountFrequency (%)
012062
99.8%
170631
 
< 0.1%
171341
 
< 0.1%
181521
 
< 0.1%
218331
 
< 0.1%
ValueCountFrequency (%)
107761.691
< 0.1%
83352.691
< 0.1%
83032.321
< 0.1%
589431
< 0.1%
573591
< 0.1%

DOLLARFO
Real number (ℝ≥0)

ZEROS

Distinct712
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.4680129
Minimum0
Maximum7665
Zeros11179
Zeros (%)92.5%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:55.181266image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile967.8
Maximum7665
Range7665
Interquartile range (IQR)0

Descriptive statistics

Standard deviation428.9562544
Coefficient of variation (CV)4.106101403
Kurtosis34.73249304
Mean104.4680129
Median Absolute Deviation (MAD)0
Skewness5.226573968
Sum1262287
Variance184003.4682
MonotonicityNot monotonic
2022-07-26T03:01:55.226842image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011179
92.5%
12365
 
< 0.1%
12335
 
< 0.1%
9604
 
< 0.1%
13564
 
< 0.1%
9984
 
< 0.1%
7044
 
< 0.1%
2984
 
< 0.1%
8754
 
< 0.1%
6373
 
< 0.1%
Other values (702)867
 
7.2%
ValueCountFrequency (%)
011179
92.5%
101
 
< 0.1%
381
 
< 0.1%
1291
 
< 0.1%
1321
 
< 0.1%
ValueCountFrequency (%)
76651
< 0.1%
49421
< 0.1%
45481
< 0.1%
45311
< 0.1%
44141
< 0.1%

DOLFOSPH
Real number (ℝ≥0)

ZEROS

Distinct764
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.3781296
Minimum0
Maximum5993.05
Zeros11224
Zeros (%)92.9%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:55.274730image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile858.923
Maximum5993.05
Range5993.05
Interquartile range (IQR)0

Descriptive statistics

Standard deviation374.4669609
Coefficient of variation (CV)4.143336032
Kurtosis33.22071056
Mean90.3781296
Median Absolute Deviation (MAD)0
Skewness5.199066882
Sum1092038.94
Variance140225.5048
MonotonicityNot monotonic
2022-07-26T03:01:55.318116image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011224
92.9%
8754
 
< 0.1%
8654
 
< 0.1%
7044
 
< 0.1%
8473
 
< 0.1%
9003
 
< 0.1%
9103
 
< 0.1%
9823
 
< 0.1%
9453
 
< 0.1%
7403
 
< 0.1%
Other values (754)829
 
6.9%
ValueCountFrequency (%)
011224
92.9%
9.61
 
< 0.1%
381
 
< 0.1%
132.61
 
< 0.1%
1721
 
< 0.1%
ValueCountFrequency (%)
5993.051
< 0.1%
4548.441
< 0.1%
39681
< 0.1%
3954.561
< 0.1%
38421
< 0.1%

DOLFOWTH
Real number (ℝ≥0)

ZEROS

Distinct396
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.83017214
Minimum0
Maximum2139.43
Zeros11619
Zeros (%)96.2%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:55.365081image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2139.43
Range2139.43
Interquartile range (IQR)0

Descriptive statistics

Standard deviation81.8477388
Coefficient of variation (CV)6.379317275
Kurtosis166.7424357
Mean12.83017214
Median Absolute Deviation (MAD)0
Skewness10.66396929
Sum155026.97
Variance6699.052346
MonotonicityNot monotonic
2022-07-26T03:01:55.409241image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011619
96.2%
1825
 
< 0.1%
1785
 
< 0.1%
1774
 
< 0.1%
1814
 
< 0.1%
1674
 
< 0.1%
2793
 
< 0.1%
2593
 
< 0.1%
1703
 
< 0.1%
2553
 
< 0.1%
Other values (386)430
 
3.6%
ValueCountFrequency (%)
011619
96.2%
371
 
< 0.1%
421
 
< 0.1%
481
 
< 0.1%
512
 
< 0.1%
ValueCountFrequency (%)
2139.431
< 0.1%
20801
< 0.1%
1706.061
< 0.1%
1671.461
< 0.1%
15501
< 0.1%

DOLFOOTH
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.259610196
Minimum0
Maximum1766.27
Zeros12062
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:55.537077image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1766.27
Range1766.27
Interquartile range (IQR)0

Descriptive statistics

Standard deviation33.89548343
Coefficient of variation (CV)26.90950227
Kurtosis1229.0805
Mean1.259610196
Median Absolute Deviation (MAD)0
Skewness32.62491702
Sum15219.87
Variance1148.903797
MonotonicityNot monotonic
2022-07-26T03:01:55.571696image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
012062
99.8%
520.371
 
< 0.1%
9901
 
< 0.1%
6811
 
< 0.1%
1253.571
 
< 0.1%
5581
 
< 0.1%
2931
 
< 0.1%
2981
 
< 0.1%
1262.11
 
< 0.1%
674.261
 
< 0.1%
Other values (12)12
 
0.1%
ValueCountFrequency (%)
012062
99.8%
2931
 
< 0.1%
2981
 
< 0.1%
3211
 
< 0.1%
3321
 
< 0.1%
ValueCountFrequency (%)
1766.271
< 0.1%
1262.11
< 0.1%
1253.571
< 0.1%
1097.981
< 0.1%
9901
< 0.1%

GALLONKER
Real number (ℝ≥0)

ZEROS

Distinct65
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.566663908
Minimum0
Maximum561
Zeros11917
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:55.615754image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum561
Range561
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21.47077381
Coefficient of variation (CV)13.70477337
Kurtosis337.8719565
Mean1.566663908
Median Absolute Deviation (MAD)0
Skewness17.47261924
Sum18930
Variance460.9941278
MonotonicityNot monotonic
2022-07-26T03:01:55.659707image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011917
98.6%
25512
 
0.1%
259
 
0.1%
3828
 
0.1%
1278
 
0.1%
57
 
0.1%
37
 
0.1%
307
 
0.1%
107
 
0.1%
16
 
< 0.1%
Other values (55)95
 
0.8%
ValueCountFrequency (%)
011917
98.6%
16
 
< 0.1%
22
 
< 0.1%
37
 
0.1%
41
 
< 0.1%
ValueCountFrequency (%)
5611
 
< 0.1%
5501
 
< 0.1%
5104
< 0.1%
4251
 
< 0.1%
4222
< 0.1%

GALLONKERSPH
Real number (ℝ≥0)

ZEROS

Distinct56
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.32872631
Minimum0
Maximum550
Zeros11956
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:55.707145image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum550
Range550
Interquartile range (IQR)0

Descriptive statistics

Standard deviation19.41327836
Coefficient of variation (CV)14.61044175
Kurtosis388.6260184
Mean1.32872631
Median Absolute Deviation (MAD)0
Skewness18.65243592
Sum16055
Variance376.8753765
MonotonicityNot monotonic
2022-07-26T03:01:55.751966image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011956
98.9%
25511
 
0.1%
307
 
0.1%
1277
 
0.1%
257
 
0.1%
3826
 
< 0.1%
106
 
< 0.1%
55
 
< 0.1%
604
 
< 0.1%
204
 
< 0.1%
Other values (46)70
 
0.6%
ValueCountFrequency (%)
011956
98.9%
34
 
< 0.1%
41
 
< 0.1%
55
 
< 0.1%
61
 
< 0.1%
ValueCountFrequency (%)
5501
 
< 0.1%
5104
< 0.1%
4221
 
< 0.1%
4121
 
< 0.1%
3826
< 0.1%

GALLONKERWTH
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06769841927
Minimum0
Maximum382
Zeros12080
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:55.790902image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum382
Range382
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.609916967
Coefficient of variation (CV)68.09489818
Kurtosis5576.66136
Mean0.06769841927
Median Absolute Deviation (MAD)0
Skewness73.32179815
Sum818
Variance21.25133444
MonotonicityNot monotonic
2022-07-26T03:01:55.822069image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
012080
> 99.9%
3821
 
< 0.1%
1291
 
< 0.1%
3071
 
< 0.1%
ValueCountFrequency (%)
012080
> 99.9%
1291
 
< 0.1%
3071
 
< 0.1%
3821
 
< 0.1%
ValueCountFrequency (%)
3821
 
< 0.1%
3071
 
< 0.1%
1291
 
< 0.1%
012080
> 99.9%

GALLONKEROTH
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.170239179
Minimum0
Maximum425
Zeros12045
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:55.860210image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum425
Range425
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.922722507
Coefficient of variation (CV)40.66468452
Kurtosis3138.459423
Mean0.170239179
Median Absolute Deviation (MAD)0
Skewness54.35946031
Sum2057
Variance47.92408691
MonotonicityNot monotonic
2022-07-26T03:01:55.895653image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
012045
99.7%
16
 
< 0.1%
155
 
< 0.1%
33
 
< 0.1%
192
 
< 0.1%
122
 
< 0.1%
252
 
< 0.1%
22
 
< 0.1%
52
 
< 0.1%
82
 
< 0.1%
Other values (12)12
 
0.1%
ValueCountFrequency (%)
012045
99.7%
16
 
< 0.1%
22
 
< 0.1%
33
 
< 0.1%
52
 
< 0.1%
ValueCountFrequency (%)
4251
< 0.1%
4221
< 0.1%
3821
< 0.1%
1821
< 0.1%
1291
< 0.1%

BTUKER
Real number (ℝ≥0)

ZEROS

Distinct81
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean211.4774477
Minimum0
Maximum75740
Zeros11917
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:55.938323image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum75740
Range75740
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2897.942225
Coefficient of variation (CV)13.70331568
Kurtosis337.620424
Mean211.4774477
Median Absolute Deviation (MAD)0
Skewness17.46676749
Sum2555282
Variance8398069.14
MonotonicityNot monotonic
2022-07-26T03:01:55.985142image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011917
98.6%
3439812
 
0.1%
171998
 
0.1%
515848
 
0.1%
6757
 
0.1%
40507
 
0.1%
33757
 
0.1%
13507
 
0.1%
4057
 
0.1%
1356
 
< 0.1%
Other values (71)97
 
0.8%
ValueCountFrequency (%)
011917
98.6%
1356
 
< 0.1%
2702
 
< 0.1%
4057
 
0.1%
5401
 
< 0.1%
ValueCountFrequency (%)
757401
 
< 0.1%
741831
 
< 0.1%
687834
< 0.1%
573081
 
< 0.1%
569842
< 0.1%

BTUKERSPH
Real number (ℝ≥0)

ZEROS

Distinct67
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean179.3681867
Minimum0
Maximum74183
Zeros11956
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:56.036064image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum74183
Range74183
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2620.137054
Coefficient of variation (CV)14.60759069
Kurtosis388.2409332
Mean179.3681867
Median Absolute Deviation (MAD)0
Skewness18.64447842
Sum2167305.8
Variance6865118.179
MonotonicityNot monotonic
2022-07-26T03:01:56.083308image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011956
98.9%
3439811
 
0.1%
171997
 
0.1%
40507
 
0.1%
13506
 
< 0.1%
515846
 
< 0.1%
33756
 
< 0.1%
6755
 
< 0.1%
81004
 
< 0.1%
4054
 
< 0.1%
Other values (57)71
 
0.6%
ValueCountFrequency (%)
011956
98.9%
4054
 
< 0.1%
5401
 
< 0.1%
6755
 
< 0.1%
8101
 
< 0.1%
ValueCountFrequency (%)
741831
 
< 0.1%
687834
< 0.1%
569841
 
< 0.1%
556341
 
< 0.1%
515846
< 0.1%

BTUKERWTH
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.133079533
Minimum0
Maximum51584
Zeros12080
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:56.122907image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum51584
Range51584
Interquartile range (IQR)0

Descriptive statistics

Standard deviation622.197228
Coefficient of variation (CV)68.12567718
Kurtosis5583.500844
Mean9.133079533
Median Absolute Deviation (MAD)0
Skewness73.36800793
Sum110355
Variance387129.3905
MonotonicityNot monotonic
2022-07-26T03:01:56.154838image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
012080
> 99.9%
515841
 
< 0.1%
173361
 
< 0.1%
414351
 
< 0.1%
ValueCountFrequency (%)
012080
> 99.9%
173361
 
< 0.1%
414351
 
< 0.1%
515841
 
< 0.1%
ValueCountFrequency (%)
515841
 
< 0.1%
414351
 
< 0.1%
173361
 
< 0.1%
012080
> 99.9%

BTUKEROTH
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct26
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.9761781
Minimum0
Maximum57308.16
Zeros12045
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:56.190189image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum57308.16
Range57308.16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation934.6127598
Coefficient of variation (CV)40.67746845
Kurtosis3134.934816
Mean22.9761781
Median Absolute Deviation (MAD)0
Skewness54.32953083
Sum277621.16
Variance873501.0108
MonotonicityNot monotonic
2022-07-26T03:01:56.227274image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
012045
99.7%
1356
 
< 0.1%
20254
 
< 0.1%
4053
 
< 0.1%
10802
 
< 0.1%
6752
 
< 0.1%
2702
 
< 0.1%
33601
 
< 0.1%
22831
 
< 0.1%
25071
 
< 0.1%
Other values (16)16
 
0.1%
ValueCountFrequency (%)
012045
99.7%
1356
 
< 0.1%
2702
 
< 0.1%
4053
 
< 0.1%
6752
 
< 0.1%
ValueCountFrequency (%)
57308.161
< 0.1%
569841
< 0.1%
515841
< 0.1%
246241
< 0.1%
174691
< 0.1%

DOLLARKER
Real number (ℝ≥0)

ZEROS

Distinct104
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.199039974
Minimum0
Maximum1394
Zeros11917
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:56.271831image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1394
Range1394
Interquartile range (IQR)0

Descriptive statistics

Standard deviation55.80745886
Coefficient of variation (CV)13.29052812
Kurtosis314.929071
Mean4.199039974
Median Absolute Deviation (MAD)0
Skewness16.91751712
Sum50737
Variance3114.472464
MonotonicityNot monotonic
2022-07-26T03:01:56.317407image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011917
98.6%
62912
 
0.1%
3158
 
0.1%
9448
 
0.1%
605
 
< 0.1%
12594
 
< 0.1%
404
 
< 0.1%
94
 
< 0.1%
153
 
< 0.1%
253
 
< 0.1%
Other values (94)115
 
1.0%
ValueCountFrequency (%)
011917
98.6%
11
 
< 0.1%
32
 
< 0.1%
41
 
< 0.1%
52
 
< 0.1%
ValueCountFrequency (%)
13941
 
< 0.1%
13911
 
< 0.1%
12594
< 0.1%
11441
 
< 0.1%
11171
 
< 0.1%

DOLKERSPH
Real number (ℝ≥0)

ZEROS

Distinct83
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.588800795
Minimum0
Maximum1391
Zeros11956
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:56.366387image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1391
Range1391
Interquartile range (IQR)0

Descriptive statistics

Standard deviation50.81057894
Coefficient of variation (CV)14.15809398
Kurtosis359.4370581
Mean3.588800795
Median Absolute Deviation (MAD)0
Skewness18.00695952
Sum43363.48
Variance2581.714932
MonotonicityNot monotonic
2022-07-26T03:01:56.497642image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011956
98.9%
62911
 
0.1%
3157
 
0.1%
9446
 
< 0.1%
12594
 
< 0.1%
604
 
< 0.1%
403
 
< 0.1%
93
 
< 0.1%
842
 
< 0.1%
762
 
< 0.1%
Other values (73)85
 
0.7%
ValueCountFrequency (%)
011956
98.9%
81
 
< 0.1%
93
 
< 0.1%
121
 
< 0.1%
142
 
< 0.1%
ValueCountFrequency (%)
13911
 
< 0.1%
12594
< 0.1%
11441
 
< 0.1%
10591
 
< 0.1%
1048.951
 
< 0.1%

DOLKERWTH
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1675080692
Minimum0
Maximum944
Zeros12080
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:56.535168image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum944
Range944
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.41189436
Coefficient of variation (CV)68.1274306
Kurtosis5574.129194
Mean0.1675080692
Median Absolute Deviation (MAD)0
Skewness73.3293643
Sum2024
Variance130.2313329
MonotonicityNot monotonic
2022-07-26T03:01:56.562794image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
012080
> 99.9%
9441
 
< 0.1%
3171
 
< 0.1%
7631
 
< 0.1%
ValueCountFrequency (%)
012080
> 99.9%
3171
 
< 0.1%
7631
 
< 0.1%
9441
 
< 0.1%
ValueCountFrequency (%)
9441
 
< 0.1%
7631
 
< 0.1%
3171
 
< 0.1%
012080
> 99.9%

DOLKEROTH
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct34
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4427186957
Minimum0
Maximum1117.37
Zeros12045
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:56.597677image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1117.37
Range1117.37
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17.6347637
Coefficient of variation (CV)39.83288683
Kurtosis3159.146088
Mean0.4427186957
Median Absolute Deviation (MAD)0
Skewness54.3815726
Sum5349.37
Variance310.9848908
MonotonicityNot monotonic
2022-07-26T03:01:56.635916image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
012045
99.7%
153
 
< 0.1%
32
 
< 0.1%
262
 
< 0.1%
52
 
< 0.1%
10641
 
< 0.1%
4571
 
< 0.1%
441
 
< 0.1%
121
 
< 0.1%
41
 
< 0.1%
Other values (24)24
 
0.2%
ValueCountFrequency (%)
012045
99.7%
11
 
< 0.1%
32
 
< 0.1%
41
 
< 0.1%
52
 
< 0.1%
ValueCountFrequency (%)
1117.371
< 0.1%
10641
< 0.1%
9441
< 0.1%
4571
< 0.1%
3211
< 0.1%

BTUWOOD
Real number (ℝ≥0)

ZEROS

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4507.572623
Minimum0
Maximum600000
Zeros10649
Zeros (%)88.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:56.673035image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile20000
Maximum600000
Range600000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20387.97675
Coefficient of variation (CV)4.523050088
Kurtosis137.1472426
Mean4507.572623
Median Absolute Deviation (MAD)0
Skewness9.14920802
Sum54465000
Variance415669595.9
MonotonicityNot monotonic
2022-07-26T03:01:56.707004image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
010649
88.1%
10000638
 
5.3%
20000261
 
2.2%
80000227
 
1.9%
40000208
 
1.7%
12000026
 
0.2%
10000017
 
0.1%
14000014
 
0.1%
16000011
 
0.1%
2000008
 
0.1%
Other values (11)24
 
0.2%
ValueCountFrequency (%)
010649
88.1%
10000638
 
5.3%
20000261
 
2.2%
40000208
 
1.7%
80000227
 
1.9%
ValueCountFrequency (%)
6000001
 
< 0.1%
4000001
 
< 0.1%
3600002
 
< 0.1%
3000006
< 0.1%
2800001
 
< 0.1%

CORDSWD
Real number (ℝ≥0)

ZEROS

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2253786311
Minimum0
Maximum30
Zeros10649
Zeros (%)88.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:56.743789image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.019398837
Coefficient of variation (CV)4.523050088
Kurtosis137.1472426
Mean0.2253786311
Median Absolute Deviation (MAD)0
Skewness9.14920802
Sum2723.25
Variance1.03917399
MonotonicityNot monotonic
2022-07-26T03:01:56.777787image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
010649
88.1%
0.5638
 
5.3%
1261
 
2.2%
4227
 
1.9%
2208
 
1.7%
626
 
0.2%
517
 
0.1%
714
 
0.1%
811
 
0.1%
108
 
0.1%
Other values (11)24
 
0.2%
ValueCountFrequency (%)
010649
88.1%
0.5638
 
5.3%
1261
 
2.2%
2208
 
1.7%
4227
 
1.9%
ValueCountFrequency (%)
301
 
< 0.1%
201
 
< 0.1%
182
 
< 0.1%
156
< 0.1%
141
 
< 0.1%

TOTALBTU
Real number (ℝ≥0)

Distinct11512
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89995.69561
Minimum58
Maximum1096083
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:56.823009image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum58
5-th percentile23094.1
Q151509
median80673
Q3117213.5
95-th percentile185747.8
Maximum1096083
Range1096025
Interquartile range (IQR)65704.5

Descriptive statistics

Standard deviation54468.76043
Coefficient of variation (CV)0.6052373957
Kurtosis15.17242674
Mean89995.69561
Median Absolute Deviation (MAD)32102
Skewness2.046983462
Sum1087417990
Variance2966845863
MonotonicityNot monotonic
2022-07-26T03:01:56.868711image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
406204
 
< 0.1%
553943
 
< 0.1%
323563
 
< 0.1%
522723
 
< 0.1%
717073
 
< 0.1%
266753
 
< 0.1%
431353
 
< 0.1%
1069493
 
< 0.1%
366893
 
< 0.1%
605053
 
< 0.1%
Other values (11502)12052
99.7%
ValueCountFrequency (%)
581
< 0.1%
3211
< 0.1%
18871
< 0.1%
24841
< 0.1%
28871
< 0.1%
ValueCountFrequency (%)
10960831
< 0.1%
6046121
< 0.1%
6013071
< 0.1%
5720031
< 0.1%
5340021
< 0.1%

TOTALBTUSPH
Real number (ℝ≥0)

ZEROS

Distinct10630
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36863.46901
Minimum0
Maximum548711
Zeros549
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:56.913986image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1188.2
Q18748.5
median27291
Q355645.5
95-th percentile103276.7
Maximum548711
Range548711
Interquartile range (IQR)46897

Descriptive statistics

Standard deviation35583.12116
Coefficient of variation (CV)0.9652678416
Kurtosis8.164041966
Mean36863.46901
Median Absolute Deviation (MAD)21058
Skewness1.843839668
Sum445421296
Variance1266158512
MonotonicityNot monotonic
2022-07-26T03:01:56.956948image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0549
 
4.5%
343989
 
0.1%
171994
 
< 0.1%
62084
 
< 0.1%
39834
 
< 0.1%
51464
 
< 0.1%
638774
 
< 0.1%
119314
 
< 0.1%
515844
 
< 0.1%
29913
 
< 0.1%
Other values (10620)11494
95.1%
ValueCountFrequency (%)
0549
4.5%
131
 
< 0.1%
141
 
< 0.1%
1351
 
< 0.1%
1421
 
< 0.1%
ValueCountFrequency (%)
5487111
< 0.1%
4008511
< 0.1%
3378441
< 0.1%
3337911
< 0.1%
3296201
< 0.1%

TOTALBTUCOL
Real number (ℝ≥0)

ZEROS

Distinct6927
Distinct (%)57.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5750.135811
Minimum0
Maximum208117
Zeros2143
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:57.004652image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1485
median2563
Q37816
95-th percentile21499.1
Maximum208117
Range208117
Interquartile range (IQR)7331

Descriptive statistics

Standard deviation8458.828563
Coefficient of variation (CV)1.471065874
Kurtosis40.3903068
Mean5750.135811
Median Absolute Deviation (MAD)2563
Skewness3.948029194
Sum69478891
Variance71551780.65
MonotonicityNot monotonic
2022-07-26T03:01:57.048807image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02143
 
17.7%
7319
 
0.1%
3218
 
0.1%
3368
 
0.1%
2438
 
0.1%
2487
 
0.1%
4147
 
0.1%
4637
 
0.1%
4127
 
0.1%
3607
 
0.1%
Other values (6917)9872
81.7%
ValueCountFrequency (%)
02143
17.7%
31
 
< 0.1%
91
 
< 0.1%
102
 
< 0.1%
112
 
< 0.1%
ValueCountFrequency (%)
2081171
< 0.1%
957121
< 0.1%
954851
< 0.1%
922921
< 0.1%
899791
< 0.1%

TOTALBTUWTH
Real number (ℝ≥0)

Distinct9737
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16265.61731
Minimum0
Maximum284130
Zeros65
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:57.095051image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3601.2
Q17710
median12754
Q321158
95-th percentile38672.4
Maximum284130
Range284130
Interquartile range (IQR)13448

Descriptive statistics

Standard deviation13552.79206
Coefficient of variation (CV)0.8332171967
Kurtosis29.76650575
Mean16265.61731
Median Absolute Deviation (MAD)6100
Skewness3.607807647
Sum196537454
Variance183678172.6
MonotonicityNot monotonic
2022-07-26T03:01:57.138612image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
065
 
0.5%
625345
 
0.4%
881518
 
0.1%
779015
 
0.1%
2429312
 
0.1%
1240311
 
0.1%
1219810
 
0.1%
227559
 
0.1%
107639
 
0.1%
208087
 
0.1%
Other values (9727)11882
98.3%
ValueCountFrequency (%)
065
0.5%
71
 
< 0.1%
311
 
< 0.1%
921
 
< 0.1%
991
 
< 0.1%
ValueCountFrequency (%)
2841301
< 0.1%
1852551
< 0.1%
1648201
< 0.1%
1586701
< 0.1%
1560231
< 0.1%

TOTALBTURFG
Real number (ℝ≥0)

Distinct6200
Distinct (%)51.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4241.701564
Minimum0
Maximum37768
Zeros19
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:57.185629image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1346.2
Q12466.5
median3570
Q35328.5
95-th percentile9281
Maximum37768
Range37768
Interquartile range (IQR)2862

Descriptive statistics

Standard deviation2656.406897
Coefficient of variation (CV)0.6262597348
Kurtosis8.752086568
Mean4241.701564
Median Absolute Deviation (MAD)1325
Skewness2.049439286
Sum51252480
Variance7056497.602
MonotonicityNot monotonic
2022-07-26T03:01:57.231027image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019
 
0.2%
26619
 
0.1%
30349
 
0.1%
31988
 
0.1%
23898
 
0.1%
29858
 
0.1%
26068
 
0.1%
31628
 
0.1%
30478
 
0.1%
19938
 
0.1%
Other values (6190)11990
99.2%
ValueCountFrequency (%)
019
0.2%
31
 
< 0.1%
181
 
< 0.1%
241
 
< 0.1%
271
 
< 0.1%
ValueCountFrequency (%)
377681
< 0.1%
315831
< 0.1%
309651
< 0.1%
263431
< 0.1%
249151
< 0.1%

TOTALBTUOTH
Real number (ℝ≥0)

Distinct10743
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26874.77547
Minimum33
Maximum428085
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:57.280027image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile5830.2
Q113936
median23014
Q334790.5
95-th percentile60493.1
Maximum428085
Range428052
Interquartile range (IQR)20854.5

Descriptive statistics

Standard deviation19867.08782
Coefficient of variation (CV)0.7392466531
Kurtosis46.40816787
Mean26874.77547
Median Absolute Deviation (MAD)10034
Skewness3.887662902
Sum324727912
Variance394701178.4
MonotonicityNot monotonic
2022-07-26T03:01:57.414394image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
286874
 
< 0.1%
168404
 
< 0.1%
89354
 
< 0.1%
241814
 
< 0.1%
282734
 
< 0.1%
244234
 
< 0.1%
298304
 
< 0.1%
192944
 
< 0.1%
237684
 
< 0.1%
131403
 
< 0.1%
Other values (10733)12044
99.7%
ValueCountFrequency (%)
331
< 0.1%
1001
< 0.1%
2981
< 0.1%
3561
< 0.1%
3851
< 0.1%
ValueCountFrequency (%)
4280851
< 0.1%
4151531
< 0.1%
3946391
< 0.1%
3134141
< 0.1%
2501801
< 0.1%

TOTALDOL
Real number (ℝ≥0)

Distinct3828
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2036.554415
Minimum6
Maximum32012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:57.459233image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile643
Q11271
median1829
Q32539
95-th percentile4081
Maximum32012
Range32006
Interquartile range (IQR)1268

Descriptive statistics

Standard deviation1174.803263
Coefficient of variation (CV)0.5768582732
Kurtosis42.31245317
Mean2036.554415
Median Absolute Deviation (MAD)618
Skewness3.095695315
Sum24607687
Variance1380162.707
MonotonicityNot monotonic
2022-07-26T03:01:57.503633image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
197114
 
0.1%
139213
 
0.1%
170613
 
0.1%
195313
 
0.1%
149312
 
0.1%
166512
 
0.1%
132412
 
0.1%
161112
 
0.1%
171011
 
0.1%
137211
 
0.1%
Other values (3818)11960
99.0%
ValueCountFrequency (%)
61
< 0.1%
751
< 0.1%
811
< 0.1%
901
< 0.1%
981
< 0.1%
ValueCountFrequency (%)
320121
< 0.1%
151261
< 0.1%
141531
< 0.1%
131561
< 0.1%
123151
< 0.1%

TOTALDOLSPH
Real number (ℝ≥0)

ZEROS

Distinct1861
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean559.180005
Minimum0
Maximum9264
Zeros549
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:57.552534image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile41.1
Q1222
median429
Q3761
95-th percentile1468
Maximum9264
Range9264
Interquartile range (IQR)539

Descriptive statistics

Standard deviation500.4108262
Coefficient of variation (CV)0.8949011441
Kurtosis17.16118037
Mean559.180005
Median Absolute Deviation (MAD)249
Skewness2.626526918
Sum6756572
Variance250410.995
MonotonicityNot monotonic
2022-07-26T03:01:57.597153image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0549
 
4.5%
20731
 
0.3%
25828
 
0.2%
22428
 
0.2%
15527
 
0.2%
27225
 
0.2%
20425
 
0.2%
13124
 
0.2%
13824
 
0.2%
15123
 
0.2%
Other values (1851)11299
93.5%
ValueCountFrequency (%)
0549
4.5%
11
 
< 0.1%
41
 
< 0.1%
51
 
< 0.1%
91
 
< 0.1%
ValueCountFrequency (%)
92641
< 0.1%
71561
< 0.1%
59931
< 0.1%
45481
< 0.1%
41951
< 0.1%

TOTALDOLCOL
Real number (ℝ≥0)

ZEROS

Distinct1181
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202.5388562
Minimum0
Maximum7729
Zeros2147
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:57.643085image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q118
median90
Q3263
95-th percentile762
Maximum7729
Range7729
Interquartile range (IQR)245

Descriptive statistics

Standard deviation309.9893442
Coefficient of variation (CV)1.530517896
Kurtosis46.61198972
Mean202.5388562
Median Absolute Deviation (MAD)90
Skewness4.389120555
Sum2447277
Variance96093.39352
MonotonicityNot monotonic
2022-07-26T03:01:57.689416image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02147
 
17.8%
1774
 
0.6%
2071
 
0.6%
1369
 
0.6%
1667
 
0.6%
2265
 
0.5%
1864
 
0.5%
963
 
0.5%
2562
 
0.5%
2661
 
0.5%
Other values (1171)9340
77.3%
ValueCountFrequency (%)
02147
17.8%
17
 
0.1%
212
 
0.1%
329
 
0.2%
434
 
0.3%
ValueCountFrequency (%)
77291
< 0.1%
37331
< 0.1%
36401
< 0.1%
35521
< 0.1%
35121
< 0.1%

TOTALDOLWTH
Real number (ℝ≥0)

Distinct948
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean280.6154101
Minimum0
Maximum3019
Zeros66
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:57.737833image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile78
Q1161
median240
Q3350
95-th percentile611
Maximum3019
Range3019
Interquartile range (IQR)189

Descriptive statistics

Standard deviation193.7223706
Coefficient of variation (CV)0.6903482976
Kurtosis19.03066097
Mean280.6154101
Median Absolute Deviation (MAD)90
Skewness3.013240354
Sum3390676
Variance37528.35688
MonotonicityNot monotonic
2022-07-26T03:01:57.780864image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
066
 
0.5%
18757
 
0.5%
17855
 
0.5%
18155
 
0.5%
17754
 
0.4%
19954
 
0.4%
15853
 
0.4%
19152
 
0.4%
22851
 
0.4%
20351
 
0.4%
Other values (938)11535
95.5%
ValueCountFrequency (%)
066
0.5%
11
 
< 0.1%
52
 
< 0.1%
81
 
< 0.1%
91
 
< 0.1%
ValueCountFrequency (%)
30191
< 0.1%
23551
< 0.1%
23451
< 0.1%
22671
< 0.1%
22531
< 0.1%

TOTALDOLRFG
Real number (ℝ≥0)

Distinct607
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.1439212
Minimum0
Maximum2490
Zeros22
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:57.825730image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile48
Q186
median127
Q3192
95-th percentile347
Maximum2490
Range2490
Interquartile range (IQR)106

Descriptive statistics

Standard deviation106.2814874
Coefficient of variation (CV)0.6894951588
Kurtosis31.87586494
Mean154.1439212
Median Absolute Deviation (MAD)48
Skewness3.305982669
Sum1862521
Variance11295.75457
MonotonicityNot monotonic
2022-07-26T03:01:57.872041image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
82100
 
0.8%
8599
 
0.8%
9892
 
0.8%
9688
 
0.7%
9288
 
0.7%
8987
 
0.7%
10085
 
0.7%
9385
 
0.7%
8485
 
0.7%
10784
 
0.7%
Other values (597)11190
92.6%
ValueCountFrequency (%)
022
0.2%
21
 
< 0.1%
31
 
< 0.1%
41
 
< 0.1%
53
 
< 0.1%
ValueCountFrequency (%)
24901
< 0.1%
14031
< 0.1%
13751
< 0.1%
13591
< 0.1%
13321
< 0.1%

TOTALDOLOTH
Real number (ℝ≥0)

Distinct2274
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean840.0806919
Minimum3
Maximum12826
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:57.917320image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile198
Q1441.5
median713
Q31070
95-th percentile1931.9
Maximum12826
Range12823
Interquartile range (IQR)628.5

Descriptive statistics

Standard deviation608.1052464
Coefficient of variation (CV)0.7238652814
Kurtosis28.98590092
Mean840.0806919
Median Absolute Deviation (MAD)304
Skewness3.181487675
Sum10150695
Variance369791.9908
MonotonicityNot monotonic
2022-07-26T03:01:57.963516image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42224
 
0.2%
50923
 
0.2%
53322
 
0.2%
64420
 
0.2%
50420
 
0.2%
37520
 
0.2%
32319
 
0.2%
45419
 
0.2%
73019
 
0.2%
69118
 
0.1%
Other values (2264)11879
98.3%
ValueCountFrequency (%)
31
< 0.1%
91
< 0.1%
131
< 0.1%
161
< 0.1%
221
< 0.1%
ValueCountFrequency (%)
128261
< 0.1%
93111
< 0.1%
92541
< 0.1%
92491
< 0.1%
78051
< 0.1%

KAVALEL
Real number (ℝ≥0)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.247041298
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:58.000792image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6473803249
Coefficient of variation (CV)0.519133028
Kurtosis3.311302567
Mean1.247041298
Median Absolute Deviation (MAD)0
Skewness2.287731112
Sum15068
Variance0.4191012851
MonotonicityNot monotonic
2022-07-26T03:01:58.030073image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
110506
86.9%
31408
 
11.7%
2169
 
1.4%
ValueCountFrequency (%)
110506
86.9%
2169
 
1.4%
31408
 
11.7%
ValueCountFrequency (%)
31408
 
11.7%
2169
 
1.4%
110506
86.9%

PERIODEL
Real number (ℝ≥0)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.511958951
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:58.062895image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.289145276
Coefficient of variation (CV)0.8526324574
Kurtosis3.288923381
Mean1.511958951
Median Absolute Deviation (MAD)0
Skewness2.270348368
Sum18269
Variance1.661895541
MonotonicityNot monotonic
2022-07-26T03:01:58.092873image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
110193
84.4%
51408
 
11.7%
2420
 
3.5%
352
 
0.4%
410
 
0.1%
ValueCountFrequency (%)
110193
84.4%
2420
 
3.5%
352
 
0.4%
410
 
0.1%
51408
 
11.7%
ValueCountFrequency (%)
51408
 
11.7%
410
 
0.1%
352
 
0.4%
2420
 
3.5%
110193
84.4%

SCALEEL
Real number (ℝ≥0)

ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3563684515
Minimum0
Maximum3
Zeros10597
Zeros (%)87.7%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:58.124695image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.963988116
Coefficient of variation (CV)2.705032143
Kurtosis3.614383638
Mean0.3563684515
Median Absolute Deviation (MAD)0
Skewness2.363083787
Sum4306
Variance0.9292730879
MonotonicityNot monotonic
2022-07-26T03:01:58.151961image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
010597
87.7%
31408
 
11.7%
174
 
0.6%
24
 
< 0.1%
ValueCountFrequency (%)
010597
87.7%
174
 
0.6%
24
 
< 0.1%
31408
 
11.7%
ValueCountFrequency (%)
31408
 
11.7%
24
 
< 0.1%
174
 
0.6%
010597
87.7%

KAVALNG
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.131589837
Minimum-2
Maximum3
Zeros0
Zeros (%)0.0%
Negative4589
Negative (%)38.0%
Memory size94.5 KiB
2022-07-26T03:01:58.182243image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median1
Q31
95-th percentile3
Maximum3
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.787474402
Coefficient of variation (CV)13.58368126
Kurtosis-1.330127111
Mean0.131589837
Median Absolute Deviation (MAD)2
Skewness-0.03952352414
Sum1590
Variance3.195064738
MonotonicityNot monotonic
2022-07-26T03:01:58.212256image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
15790
47.9%
-24589
38.0%
31570
 
13.0%
2134
 
1.1%
ValueCountFrequency (%)
-24589
38.0%
15790
47.9%
2134
 
1.1%
31570
 
13.0%
ValueCountFrequency (%)
31570
 
13.0%
2134
 
1.1%
15790
47.9%
-24589
38.0%

PERIODNG
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4098319954
Minimum-2
Maximum5
Zeros0
Zeros (%)0.0%
Negative4589
Negative (%)38.0%
Memory size94.5 KiB
2022-07-26T03:01:58.330522image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median1
Q31
95-th percentile5
Maximum5
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.277483691
Coefficient of variation (CV)5.557115395
Kurtosis-0.3635846691
Mean0.4098319954
Median Absolute Deviation (MAD)3
Skewness0.6358074965
Sum4952
Variance5.186931962
MonotonicityNot monotonic
2022-07-26T03:01:58.358973image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
15608
46.4%
-24589
38.0%
51570
 
13.0%
2286
 
2.4%
320
 
0.2%
410
 
0.1%
ValueCountFrequency (%)
-24589
38.0%
15608
46.4%
2286
 
2.4%
320
 
0.2%
410
 
0.1%
ValueCountFrequency (%)
51570
 
13.0%
410
 
0.1%
320
 
0.2%
2286
 
2.4%
15608
46.4%

SCALENG
Real number (ℝ)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3657204337
Minimum-2
Maximum3
Zeros5889
Zeros (%)48.7%
Negative4589
Negative (%)38.0%
Memory size94.5 KiB
2022-07-26T03:01:58.389158image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median0
Q30
95-th percentile3
Maximum3
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.600438645
Coefficient of variation (CV)-4.376125854
Kurtosis-0.03685471509
Mean-0.3657204337
Median Absolute Deviation (MAD)2
Skewness0.8149324105
Sum-4419
Variance2.561403857
MonotonicityNot monotonic
2022-07-26T03:01:58.419212image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
05889
48.7%
-24589
38.0%
31570
 
13.0%
121
 
0.2%
214
 
0.1%
ValueCountFrequency (%)
-24589
38.0%
05889
48.7%
121
 
0.2%
214
 
0.1%
31570
 
13.0%
ValueCountFrequency (%)
31570
 
13.0%
214
 
0.1%
121
 
0.2%
05889
48.7%
-24589
38.0%

PERIODLP
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.557642969
Minimum-2
Maximum5
Zeros0
Zeros (%)0.0%
Negative11008
Negative (%)91.1%
Memory size94.5 KiB
2022-07-26T03:01:58.448650image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile2
Maximum5
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.524468034
Coefficient of variation (CV)-0.978701836
Kurtosis11.65235307
Mean-1.557642969
Median Absolute Deviation (MAD)0
Skewness3.555057253
Sum-18821
Variance2.324002787
MonotonicityNot monotonic
2022-07-26T03:01:58.476392image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-211008
91.1%
5494
 
4.1%
1437
 
3.6%
2144
 
1.2%
ValueCountFrequency (%)
-211008
91.1%
1437
 
3.6%
2144
 
1.2%
5494
 
4.1%
ValueCountFrequency (%)
5494
 
4.1%
2144
 
1.2%
1437
 
3.6%
-211008
91.1%

SCALELP
Real number (ℝ)

ZEROS

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.698667549
Minimum-2
Maximum3
Zeros572
Zeros (%)4.7%
Negative11008
Negative (%)91.1%
Memory size94.5 KiB
2022-07-26T03:01:58.506231image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile0
Maximum3
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.061814393
Coefficient of variation (CV)-0.6250866412
Kurtosis13.03237118
Mean-1.698667549
Median Absolute Deviation (MAD)0
Skewness3.728821311
Sum-20525
Variance1.127449805
MonotonicityNot monotonic
2022-07-26T03:01:58.535557image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-211008
91.1%
0572
 
4.7%
3494
 
4.1%
19
 
0.1%
ValueCountFrequency (%)
-211008
91.1%
0572
 
4.7%
19
 
0.1%
3494
 
4.1%
ValueCountFrequency (%)
3494
 
4.1%
19
 
0.1%
0572
 
4.7%
-211008
91.1%

PERIODFO
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.651245552
Minimum-2
Maximum5
Zeros0
Zeros (%)0.0%
Negative11179
Negative (%)92.5%
Memory size94.5 KiB
2022-07-26T03:01:58.564495image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile1
Maximum5
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.332129688
Coefficient of variation (CV)-0.8067423324
Kurtosis16.26327524
Mean-1.651245552
Median Absolute Deviation (MAD)0
Skewness4.085822945
Sum-19952
Variance1.774569505
MonotonicityNot monotonic
2022-07-26T03:01:58.592295image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
-211179
92.5%
1467
 
3.9%
5355
 
2.9%
282
 
0.7%
ValueCountFrequency (%)
-211179
92.5%
1467
 
3.9%
282
 
0.7%
5355
 
2.9%
ValueCountFrequency (%)
5355
 
2.9%
282
 
0.7%
1467
 
3.9%
-211179
92.5%

SCALEFO
Real number (ℝ)

ZEROS

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.760820988
Minimum-2
Maximum3
Zeros536
Zeros (%)4.4%
Negative11179
Negative (%)92.5%
Memory size94.5 KiB
2022-07-26T03:01:58.622352image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile0
Maximum3
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9310251702
Coefficient of variation (CV)-0.52874493
Kurtosis17.81656164
Mean-1.760820988
Median Absolute Deviation (MAD)0
Skewness4.255094603
Sum-21276
Variance0.8668078676
MonotonicityNot monotonic
2022-07-26T03:01:58.652513image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
-211179
92.5%
0536
 
4.4%
3355
 
2.9%
19
 
0.1%
24
 
< 0.1%
ValueCountFrequency (%)
-211179
92.5%
0536
 
4.4%
19
 
0.1%
24
 
< 0.1%
3355
 
2.9%
ValueCountFrequency (%)
3355
 
2.9%
24
 
< 0.1%
19
 
0.1%
0536
 
4.4%
-211179
92.5%

PERIODKR
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.93594306
Minimum-2
Maximum5
Zeros0
Zeros (%)0.0%
Negative11917
Negative (%)98.6%
Memory size94.5 KiB
2022-07-26T03:01:58.681574image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum5
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5899071054
Coefficient of variation (CV)-0.3047130453
Kurtosis111.125479
Mean-1.93594306
Median Absolute Deviation (MAD)0
Skewness10.27292072
Sum-23392
Variance0.347990393
MonotonicityNot monotonic
2022-07-26T03:01:58.709528image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-211917
98.6%
197
 
0.8%
569
 
0.6%
ValueCountFrequency (%)
-211917
98.6%
197
 
0.8%
569
 
0.6%
ValueCountFrequency (%)
569
 
0.6%
197
 
0.8%
-211917
98.6%

SCALEKER
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.955391873
Minimum-2
Maximum3
Zeros97
Zeros (%)0.8%
Negative11917
Negative (%)98.6%
Memory size94.5 KiB
2022-07-26T03:01:58.739598image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile-2
Q1-2
median-2
Q3-2
95-th percentile-2
Maximum3
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4158103099
Coefficient of variation (CV)-0.212648071
Kurtosis116.1819155
Mean-1.955391873
Median Absolute Deviation (MAD)0
Skewness10.50170842
Sum-23627
Variance0.1728982138
MonotonicityNot monotonic
2022-07-26T03:01:58.769228image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
-211917
98.6%
097
 
0.8%
369
 
0.6%
ValueCountFrequency (%)
-211917
98.6%
097
 
0.8%
369
 
0.6%
ValueCountFrequency (%)
369
 
0.6%
097
 
0.8%
-211917
98.6%

IECC_Climate_Pub
Categorical

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size94.5 KiB
4A
2703 
5A
2402 
1A-2A
1740 
3B-4B
1523 
3A
1235 
Other values (6)
2480 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4A
2nd row3C
3rd row5A
4th row5A
5th row5A

Common Values

ValueCountFrequency (%)
4A2703
22.4%
5A2402
19.9%
1A-2A1740
14.4%
3B-4B1523
12.6%
3A1235
10.2%
6A-6B971
 
8.0%
5B-5C476
 
3.9%
3C368
 
3.0%
4C312
 
2.6%
2B209
 
1.7%

HDD50
Real number (ℝ≥0)

ZEROS

Distinct4004
Distinct (%)33.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1681.961764
Minimum0
Maximum7623
Zeros388
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:58.809055image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.1
Q1262.5
median1684
Q32662
95-th percentile4201.6
Maximum7623
Range7623
Interquartile range (IQR)2399.5

Descriptive statistics

Standard deviation1401.079218
Coefficient of variation (CV)0.8330030135
Kurtosis-0.3239240294
Mean1681.961764
Median Absolute Deviation (MAD)1240
Skewness0.574453606
Sum20323144
Variance1963022.976
MonotonicityNot monotonic
2022-07-26T03:01:58.854353image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0388
 
3.2%
1530
 
0.2%
630
 
0.2%
1230
 
0.2%
3229
 
0.2%
1827
 
0.2%
1726
 
0.2%
426
 
0.2%
3326
 
0.2%
2325
 
0.2%
Other values (3994)11446
94.7%
ValueCountFrequency (%)
0388
3.2%
118
 
0.1%
224
 
0.2%
323
 
0.2%
426
 
0.2%
ValueCountFrequency (%)
76231
< 0.1%
75041
< 0.1%
74551
< 0.1%
72501
< 0.1%
69931
< 0.1%

CDD80
Real number (ℝ≥0)

ZEROS

Distinct1026
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.5684846
Minimum0
Maximum1884
Zeros2610
Zeros (%)21.6%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:58.901801image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median30
Q3117
95-th percentile628
Maximum1884
Range1884
Interquartile range (IQR)113

Descriptive statistics

Standard deviation264.1869078
Coefficient of variation (CV)1.892883687
Kurtosis11.73192619
Mean139.5684846
Median Absolute Deviation (MAD)30
Skewness3.128537076
Sum1686406
Variance69794.72224
MonotonicityNot monotonic
2022-07-26T03:01:58.946688image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02610
 
21.6%
18146
 
1.2%
23139
 
1.2%
6136
 
1.1%
8134
 
1.1%
14134
 
1.1%
13134
 
1.1%
3131
 
1.1%
5130
 
1.1%
16127
 
1.1%
Other values (1016)8262
68.4%
ValueCountFrequency (%)
02610
21.6%
1118
 
1.0%
2124
 
1.0%
3131
 
1.1%
4118
 
1.0%
ValueCountFrequency (%)
18841
< 0.1%
18751
< 0.1%
18601
< 0.1%
18531
< 0.1%
18452
< 0.1%

GND_HDD65
Real number (ℝ≥0)

ZEROS

Distinct6152
Distinct (%)50.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3763.728544
Minimum0
Maximum11567
Zeros377
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:58.993904image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile22
Q11246.5
median3878
Q35834
95-th percentile8053
Maximum11567
Range11567
Interquartile range (IQR)4587.5

Descriptive statistics

Standard deviation2597.754419
Coefficient of variation (CV)0.6902076991
Kurtosis-0.9607132099
Mean3763.728544
Median Absolute Deviation (MAD)2135
Skewness0.2081955569
Sum45477132
Variance6748328.02
MonotonicityNot monotonic
2022-07-26T03:01:59.039694image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0377
 
3.1%
116
 
0.1%
216
 
0.1%
1015
 
0.1%
415
 
0.1%
2614
 
0.1%
1314
 
0.1%
1613
 
0.1%
2113
 
0.1%
4211
 
0.1%
Other values (6142)11579
95.8%
ValueCountFrequency (%)
0377
3.1%
116
 
0.1%
216
 
0.1%
38
 
0.1%
415
 
0.1%
ValueCountFrequency (%)
115671
< 0.1%
113791
< 0.1%
113541
< 0.1%
113201
< 0.1%
111821
< 0.1%

WSF
Real number (ℝ≥0)

Distinct50
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4990358355
Minimum0.31
Maximum0.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:59.086431image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.31
5-th percentile0.37
Q10.43
median0.5
Q30.56
95-th percentile0.63
Maximum0.8
Range0.49
Interquartile range (IQR)0.13

Descriptive statistics

Standard deviation0.08351999221
Coefficient of variation (CV)0.1673627148
Kurtosis-0.6167043691
Mean0.4990358355
Median Absolute Deviation (MAD)0.07
Skewness0.1475758408
Sum6029.85
Variance0.006975589098
MonotonicityNot monotonic
2022-07-26T03:01:59.133976image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.54602
 
5.0%
0.53542
 
4.5%
0.52506
 
4.2%
0.56499
 
4.1%
0.55494
 
4.1%
0.39493
 
4.1%
0.51461
 
3.8%
0.42460
 
3.8%
0.58455
 
3.8%
0.43447
 
3.7%
Other values (40)7124
59.0%
ValueCountFrequency (%)
0.318
 
0.1%
0.3214
 
0.1%
0.3345
0.4%
0.3471
0.6%
0.35102
0.8%
ValueCountFrequency (%)
0.81
 
< 0.1%
0.793
< 0.1%
0.783
< 0.1%
0.773
< 0.1%
0.763
< 0.1%

OA_LAT
Real number (ℝ≥0)

ZEROS

Distinct35
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.656045684
Minimum0
Maximum34
Zeros2311
Zeros (%)19.1%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:59.177789image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q37
95-th percentile22
Maximum34
Range34
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.797205076
Coefficient of variation (CV)1.201759225
Kurtosis2.660339347
Mean5.656045684
Median Absolute Deviation (MAD)3
Skewness1.800188192
Sum68342
Variance46.20199684
MonotonicityNot monotonic
2022-07-26T03:01:59.306726image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
02311
19.1%
11365
11.3%
31234
10.2%
21220
10.1%
51056
8.7%
6875
 
7.2%
4859
 
7.1%
7598
 
4.9%
8395
 
3.3%
11199
 
1.6%
Other values (25)1971
16.3%
ValueCountFrequency (%)
02311
19.1%
11365
11.3%
21220
10.1%
31234
10.2%
4859
 
7.1%
ValueCountFrequency (%)
341
 
< 0.1%
3313
0.1%
327
 
0.1%
318
 
0.1%
3025
0.2%

GWT
Real number (ℝ≥0)

Distinct53
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.12869321
Minimum36
Maximum89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:59.350164image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum36
5-th percentile47
Q152
median58
Q366
95-th percentile74
Maximum89
Range53
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.678293011
Coefficient of variation (CV)0.1467695723
Kurtosis-0.5866992993
Mean59.12869321
Median Absolute Deviation (MAD)7
Skewness0.399272898
Sum714452
Variance75.31276958
MonotonicityNot monotonic
2022-07-26T03:01:59.395850image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
51805
 
6.7%
52751
 
6.2%
50649
 
5.4%
53593
 
4.9%
58549
 
4.5%
59516
 
4.3%
62506
 
4.2%
61503
 
4.2%
63447
 
3.7%
49442
 
3.7%
Other values (43)6322
52.3%
ValueCountFrequency (%)
362
 
< 0.1%
371
 
< 0.1%
381
 
< 0.1%
395
< 0.1%
4012
0.1%
ValueCountFrequency (%)
891
 
< 0.1%
872
 
< 0.1%
862
 
< 0.1%
8510
0.1%
8412
0.1%

DesignDBT99
Real number (ℝ)

Distinct90
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.25631052
Minimum-23
Maximum67
Zeros82
Zeros (%)0.7%
Negative950
Negative (%)7.9%
Memory size94.5 KiB
2022-07-26T03:01:59.441595image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum-23
5-th percentile-5
Q19
median18
Q333
95-th percentile45
Maximum67
Range90
Interquartile range (IQR)24

Descriptive statistics

Standard deviation15.33762612
Coefficient of variation (CV)0.7571776757
Kurtosis-0.6189231446
Mean20.25631052
Median Absolute Deviation (MAD)11
Skewness0.09973514884
Sum244757
Variance235.2427749
MonotonicityNot monotonic
2022-07-26T03:01:59.485519image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14355
 
2.9%
10355
 
2.9%
9348
 
2.9%
11348
 
2.9%
12328
 
2.7%
16328
 
2.7%
8323
 
2.7%
7321
 
2.7%
13318
 
2.6%
15304
 
2.5%
Other values (80)8755
72.5%
ValueCountFrequency (%)
-231
 
< 0.1%
-221
 
< 0.1%
-203
< 0.1%
-193
< 0.1%
-187
0.1%
ValueCountFrequency (%)
673
 
< 0.1%
662
 
< 0.1%
656
 
< 0.1%
6417
0.1%
634
 
< 0.1%

DesignDBT1
Real number (ℝ≥0)

Distinct53
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.3594306
Minimum60
Maximum118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size94.5 KiB
2022-07-26T03:01:59.531165image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile81
Q187
median90
Q394
95-th percentile101
Maximum118
Range58
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.166669229
Coefficient of variation (CV)0.06824599477
Kurtosis1.066310025
Mean90.3594306
Median Absolute Deviation (MAD)4
Skewness0.1930707565
Sum1091813
Variance38.02780938
MonotonicityNot monotonic
2022-07-26T03:01:59.575877image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90895
 
7.4%
89873
 
7.2%
91868
 
7.2%
88865
 
7.2%
92865
 
7.2%
87734
 
6.1%
93686
 
5.7%
94652
 
5.4%
86608
 
5.0%
95589
 
4.9%
Other values (43)4448
36.8%
ValueCountFrequency (%)
601
 
< 0.1%
653
< 0.1%
662
< 0.1%
673
< 0.1%
683
< 0.1%
ValueCountFrequency (%)
1181
 
< 0.1%
1152
 
< 0.1%
1145
< 0.1%
1137
0.1%
1128
0.1%